ISAP2013

1

Program

PROGRAM AT GLANCE
Time Slots

Liberty Tower
23F

Foyer

Academy Hall

Monday, July 1, 2013
Academy Common
2F Room A2
2F Room A1

12:00pm-1:00pm

Registration

1:00pm-2:10pm

Registration

Tutorial A
Data Mining

2:30pm-3:40pm

Registration

Tutorial B
Meta-Heuristics

4:00pm-5:10pm

Registration

Tutorial C
Multi Agent

5:10pm-5:30pm

Registration

2F Room A3

2F A4-A6

5:30pm-7:30pm

University Hall
3F Rooms 1-2

Reception
Tuesday, July 2, 2013

Time

Liberty Tower
23F

Foyer

Academy Hall

2F Room A1

Academy Common
2F Room A2

2F Room A3

2F A4-A6

8:30am-9:00am

Registration

9:00am-9:30am

Registration

Opening

Exhibition

9:30am-11:00am

Registration

Plenary 1
Baysian Networks

Exhibition

Registration

Panel 1PV Systems

11:00am-11:20am
11:20am-12:50pm

Session 1
Electric Vehicles

12:50pm-2:30pm

Break
Session 2
Distribution Systems
1

Session 3
Smart Grid
Management 1

Exhibition

Session 6
Power System
Analysis 1

Exhibition

Session 9
MicroGrid

Exhibition

2F Room A3

A4-A6

University Hall
3F Rooms 1-2

Lunch

2:30pm-4:00pm

Registration

Panel 2
EV Systems

Session 4
Multi-Agent Systems
1

4:00pm-4:20pm
Panel 3
Registration Practical Demonstration
Projects

4:20pm-6:20pm

Session 7
Multi-Agent Systems
2

Session 5
Distribution Systems
2
Break
Session8
Load & Price
Forecasting

6:30pm-8:30pm

Time

Liberty Tower
23F

9:30am-11:00am

Foyer

Academy Hall

Registration

Plenary 2
Cyber Security

Registration

Panel 4
Data Assimilation
Techniques

Wednesday, July 3, 2013
Academy Common
2F Room A2
2F Room A1

Exhibition

11:00am-11:20am
11:20am-12:50am

Session10
PV Systems

12:50am-2:30pm

Registration

Plenary 3
Smart Community
Keihanna

Session 12
Smart Grid
Management 2

Exhibition

Registration

Panel 5
Evolutionary
Multiobjective
Optimization

Foyer

Academy Hall

Exhibition
Break

3:50pm-4:10pm
4:10pm-5:40pm

6:00pm-8:00pm

Dinner PartyTime

Liberty Tower
23F

Registration

11:00am-11:20am
11:20am-11:50am

Break
Session11
Power System & Plant
Control
Lunch

2:30pm-3:50pm

9:30am-11:00am

University Hall
3F Rooms 1-2

Closing

Session 13
Wind Power
Generation

Session 14
Substation Automation

Session 15
Power System
Analysis 2

Exhibition

Thursday，July 4, 2013
Academy Common
A1
A2
A3
A4-A6
Session 17
Session 16
Session 18
Exhibition
Power System
Optimal Power FlowIntelligent Optimization
Plannning & Operation
Break

University Hall
3F Rooms 1-2

ISAP2013

Program2

TABLE OF CONTENTSSPONSORS AND ORGANIZERS .................................................................... 4
CONFERENCE COMMITTEE MEMBERS AND REVIEWERS.................................. 5
ISAP COUNCIL PRESIDENT'S MESSAGE ........................................................ 7
WELCOME ADDRESS OF ISAP2013 CHAIR ..................................................... 8
WELCOME ADDRESS OF ISAP2013 LOCAL ORGANIZING CHAIR ........................ 9
DINNER PARTY ....................................................................................... 10
CONFERENCE EXCURSION ....................................................................... 11
ISAP2013 TUTORIAL................................................................................. 12
PLENARY TALKS ..................................................................................... 15
PANEL SESSION...................................................................................... 18
Panel Session 1 PV Output Estimation Technology and its Application in Distribution
Systems ................................................................................................ 18
Panel Session 2 Current Status and Challenges of EV Penetration to Smart Grid ...... 18
Panel Session 3 Practical Demonstration Projects in Japan ................................ 19
Panel Session 4 Data Assimilation Techniques with Applications to Smart Grid ........ 20
Panel Session 5 Recent Trends and Future Research Directions in Evolutionary
Multiobjective Optimization ........................................................................... 20
TECHNICAL PROGRAM ............................................................................. 22
Tutorial Session ........................................................................................ 22
Opening .................................................................................................. 22
Plenary Session 1 Bayesian Network and Its Applications with Big-data ................ 22
Panel Session 1 PV output estimation technology and its application in distribution
systems ................................................................................................. 22
Technical Session 1 Electric Vehicles ........................................................... 23
Technical Session 2 Distribution Systems 1 ................................................... 23
Technical Session 3 Smart Grid Management 1 .............................................. 24
Panel Session 2 Challenges of EV Penetration to Smart Grid .............................. 24
Technical Session 4 Multi-Agent Systems 1 ................................................... 24
Technical Session 5 Distribution Systems 2 ................................................... 25
Technical Session 6 Power System Analysis 1................................................ 25
Panel Session 3 Practical Demonstration Projects in Japan ................................ 26
Technical Session 7 Multi-Agent Systems 2 ................................................... 26
Technical Session 8 Load & Price Forecasting ................................................ 27
Technical Session 9 Micro Grid .................................................................. 27
Plenary Session 2 Cyber-Physical System Security in a Smart Grid Environment .... 28
Panel Session 4 Data Assimilation Techniques with Applications to Smart Grid ........ 28
Technical Session 10 PV Systems .............................................................. 28
Technical Session 11

Power System and Plant Control ..................................... 29

ISAP2013

Program3

Technical Session 12 Smart Grid Management 2............................................. 29
Plenary Session 3 Outline of Verification Program in Smart Community Keihanna (Kyoto)............................................................................................................ 30
Panel Session 5 Recent Trends and Future Research Directions in Evolutionary
Multiobjective Optimization ........................................................................... 30
Technical Session 13
Technical Session 14
Technical Session 15
Technical Session 16
Technical Session 17

Wind Power Generation ................................................ 30
Substation Automation ................................................. 31
Power System Analysis 2 .............................................. 31
Optimal Power Flow..................................................... 32
Power System Planning & Operation ................................ 32

Technical Session 18 Intelligent Optimization ................................................. 32
Closing Session ........................................................................................ 33
AUTHORS INDEX .................................................................................. 34
CONFERECE VENUE .............................................................................. 42

ISAP20134

Program

SPONSORS AND ORGANIZERS
Organizer
Meiji University

Technical Co-Sponsor
IEEE Power & Energy Society

Sponsors
Aichi Institute of Technology
Fuji Electric Co., Ltd.
Mitsubishi Electric Corp.
Shibaura Institute of Technology
Toshiba Corp.

CRIEPI
Hitachi, Ltd.
October Sky Co., Ltd.
Taiga Publishing Co., Ltd.

ISAP20135

Program

CONFERENCE COMMITTEE MEMBERS AND REVIEWERS
J. MomohUSA
M. Mousavi
USA
J. MurataJapan
T. Nagata
Japan
J.K. Park
Korea
F. Ponci
Germany
T. Senjyu
Japan
C. Singh
USA
S. N. Singh
India
Y. H. SongChina
D. Srinivasan
Singapore
S. Suryanarayanan USA
M.S. Tsai
TaiwanL. H. Tsoukalas
USA
Z.A. Vale
Portugal
G. Venayagamoorthy USA
Q. WeiUSA
L. Wehenkel
Belgium
K.P. Wong
Hong Kong

Conference Chair
Chair:

H. MoriJapan

ISAP Board of Directors
President: K. Tomsovic
Secretary/
Treasurer: D. Niebur
Members: T. Funabashi
G. Krost
G. Lambert-Torres
C. C. Liu
H. Mori

USA
USA
Japan
Germany
BrazilUSA/IrelandJapan

T e ch nic a l C om m it t ee
Chair:
H. MoriVice-Chair: Y. Fukuyama
Members: A. Alves da Silva
O. Aydogan
A. Bakirtzis
D. Cartes
J. Catalao
Y. T. Chen
M. Y. Chow
J. B. Chu
T. Dillon
Z. Y. Dong
M. El-Sharkawi
M. Eremia
D. Falcao
Y. Fukuyama
P. Georgilakis
R. G. Ramirez
R. Harley
N. Hatziargyriou
Y. Y. Hong
A. Ishigame
P. KadarM. Kezunovic
G. Korres
E. Kyriakides
L.L. Lai
K. LeeS.J. Lee
C. N. LuO. Malik
S. McArthur
V. Miranda
O. A. Mohammed

Japan
Japan
BrazilTurkeyGreeceUSA
Portugal
TaiwanUSA
Korea
Australia
Australia
USA
Romania
BrazilJapan
GreeceMexicoUSA
GreeceTaiwanJapan
Hungary
USA
GreeceCyprusUK
USA
Korea
TaiwanCanadaUK
PortugalUSA

L o ca l Or g a n i z i n g C o mm i t t ee
Chair:
Members:

S. Tamura
G. Fujita
S. Fujiwara
Y. Fukuyama
T. Funabashi
K. Hirato
T. Iizaka
T. Kumano
H. Mori
Y. Tsukamoto

Japan
Japan
Japan
Japan
Japan
Japan
Japan
Japan
Japan
Japan

L i st s of R e v i ew e r s
J. Choi
I. Erlich
D. Falcao
G. Fujita
Y. Fukuyama
T. Funabashi
N. Hatziargyriou
Y. Y. Hong
T. Iizaka
A. Ishigame
Y. Kataoka
M. Kezunovic
T. Kumano
G. Lambert-Torres
C. C. Liu
S. McArthur

Korea
Germany
Brazil
Japan
Japan
Japan
GreeceTaiwan
Japan
Japan
Japan
USA
Japan
BrazilUSA/Ireland
UKISAP2013
V. Miranda
Y. Mishima
H. Mori
J. Murata
T. Nagata
J.K. Park
T. Senjyu
H. TakanoS. Tamura
M. Tsai
S. Urano
Z.A. ValeK. Yukita

Program
Portugal
Japan
Japan
Japan
Japan
Korea
Japan
Japan
Japan
TaiwanJapan
PortugalJapan

6

ISAP2013

Program7

ISAP COUNCIL PRESIDENT'S MESSAGE
ISAP 2013 – 17th International Conference on Intelligent Systems Applications toPower Systems
On behalf of the International Council of Intelligent System
Applications to Power Systems, I would like to welcome you to ISAP2013 in Tokyo, Japan. ISAP is an international conference series thatbegan in 1988 and has been held periodically throughout the world.
Japan hosted both one of the earlier ANNPS and ESAP conferences thatmerged to from ISAP. It has been too long in returning to Japan foranother conference. Today, ISAP has established itself as the leading
forum for intelligent system technologies and their applications to powerengineering.
In the last several years, we have seen an explosion in interest in the so-called Smart
Grid. Our community, which has supported ISAP for years, will tell you that this is no new
trend but a culmination of work we’ve been excited about and researching for 25 years. The
Smart Grid is really about the functions that can be provided by intelligent processing andintegrating all the new sensing information. Such technology has long been at the core of
the ISAP conferences. Moreover, the growing interest in more environmentally benign
generation sources poses great challenges for the grid. This is certainly true in Japan where
the Fukushima tragedy has led to the planned shutdown of Nuclear units. The high degreeof intermittency and other unusual operating characteristics of these renewables require
ever more sophisticated intelligence embedded in the design, planning and operation of thepower system. Thus, it is particularly appropriate to hold this conference here in Japan as
they struggle to determine the appropriate generation mix to serve their future electricity
needs.
We hope that you will enjoy the technical programs and the other activities during ISAP2013. I am excited about the three distinguished plenary talks, the tutorials, the exhibition
and all the technical talks. Let’s remember to enjoy ourselves at the social activities and taketime to appreciate the wonderful food and culture of Japan.
I would like to take this opportunity to thank the Technical Committee and Local
Organizing Committee for their dedication and outstanding work. I also wish to thank the
ISAP Council for their leadership and guidance for this important meeting. Together they
have spent countless hours to ensure that we will have a high quality and enjoyable
conference. Finally, but not least, I want to thank the authors and participants who bring new
ideas and energy to the forum.
I look forward to meeting old friends and meeting new ones at the conference.

Sincerely,

Kevin Tomsovic
President, ISAP Council

ISAP2013

Program

8

WELCOME ADDRESS OF ISAP2013 CHAIR
Welcome to ISAP 2013
It is a great pleasure for us to organize the 17th Intelligent Systems
Applications to Power Systems (ISAP) Conference to be held in Tokyo,
Japan, July 1-4, 2013. ISAP was held in Japan for the first time intwenty years since ANNPS’93 in Yokohama that was one of theprevious meeting structure of ISAP. For these twenty years, theintelligent systems have developed dramatically corresponding to theprosperity of the new algorithms such as meta-heuristics, data mining,
multi-agent systems, and Support Vector Machine.
The ISAP conference has a couple of missions: One is to provide an international forum
for researchers, power system engineers, practitioners, developers and computerscientists to share knowledge, experience and new ideas. The other is to discuss recent
developments and applications in the area of intelligent systems to power systems, andpower markets, etc,
This ISAP focuses on the intersection between the intelligent applications and Smart
Grid that has several key words such as distributed control, Electric Vehicles (EVs),
Demand Response (DR), Cyber Security, CO2 reduction, renewable energy, etc. As aresult, complex uncertainties should be considered in operation and planning. In addition,
due to the emergence technologies of remote sensing and its sensor networks, we are
faced with a new environment to deal with a huge amount of data, namely, Big Data. We
expect that the intelligent systems play a key role to solve operation and planningchallenges under a new environment with the aid of probabilistic or stochastic
methodologies.
In this ISAP, ninety nine papers were submitted from Japan, Portugal, Taiwan, USA,
India, Brazil, China, Germany, Sweden, Australia, Denmark, Ireland, Korea, Romania,
Singapore, etc. After reviewing them, seventy one papers were accepted for the oralpresentation. The accepted papers are presented at one of the eighteen technicalsessions. In addition, we have three plenary sessions on Bayesian Networks, Cyber
Security, and Smart Community Project in Kyoto, five panel sessions on PV systems, EV
Systems, Practical Demonstration Projects in Japan, Data Assimilation, and Evolutionary
Multiobjective Optimization as well as three tutorials on Data Mining, Meta-heuristics, andMulti-agent Systems.
Last but not least, we would like to thank the ISAP Board of Directors for the activities
to make ISAP2013 successful. Welcome to Tokyo, Japan.

Hiroyuki Mori
Professor and Chair, Dept. of Network Design
Nakano-Campus, Meiji University
General Conference Chair, ISAP 2013

ISAP20139

Program

WELCOME ADDRESS OF
ISAP2013 LOCAL ORGANIZING CHAIR
On behalf of Local Organizing Committee, we would like to welcome you to ISAP 2013.
It is an honor that we had an opportunity to play a role to organize ISAP in Japan.
As the members of Local Organizing Committee, we have started our activities since
the last November and held the Committee Meetings more than nine times to make ISAP
successful. As a chair of Local Organizing Committee, I would like to thank all the members
for their voluntary contribution. I would also like to appreciate very much the support of all
the related persons to our activities including Sponsorship companies.
We hope that you will enjoy all the technical programs such as tutorials, plenary/panelsessions, and technical sessions, as well as non-technical programs such as
reception/dinner party and tour. In addition to that, we also hope that you will become
more familiar with Japanese food and culture.

Shigeru Tamura
Chair of Local Organizing Committee of ISAP2013

Shigeru Tamura

Goro Fujita

Shuhei Fujiwara

Kota Hirato

Tatsuya Iizaka

Teruhisa Kumano

Yoshikazu Fukuyama Toshihisa Funabashi

Hiroyuki Mori

Yukitoki Tsukamoto

ISAP2013

Program10

DINNER PARTY
Date: Thursday, July 3, 2013
Time: 6:00pm – 8:00pm
Place: 23rd Floor of Liberty Tower
The dinner party will be held at the memorial halls: Kishimoto and Miyagi Halls, which are
named by Meiji University founders. Those halls are located on the 23rd floor of Liberty
Tower.
The participants can enjoy various dishes as well as traditional Japanese music played by avoluntary group of Meiji University students.

ISAP2013

Program11

CONFERENCE EXCURSIONThe Conference Excursion will take a half day journey by bus to guide you to
three famous traditional Japanese places. The participants would become
more familiar with Japanese culture and history.

Date:
Assembly Time:
Assembly Place:
Departure Time:
Return Time:
Guide:

Thursday, July 4, 2013
1:45pm
1F Academy Common
2:00pm
6:00pmEnglish-speaking guide

Itinerary
Depart Meiji University at 2:00pm
Sightseeing spots (1) Sensoji Temple, (2) Asaskusa Nakamise Shopping Street, and (3)Edo-Tokyo Museum (Ryougoku).

(1) Sensoji Temple
The oldest and most impressive temple in Tokyo. The main hall was first built in 645 tohouse a tiny golden statue of Kannon, the goddess of mercy that had been repeatedly
hauled up in fishing nets despite being thrown back into the river. The statue was enshrinedin the main hall where it ostensibly remains today -- a sight too holy to be seen. The temple
was destroyed in the air raids of March 10, 1945, and the present building is a 1958
reconstruction. The temple precincts bustle with people praying, buying fortunes, shoppingor sightseeing. Many come for the curative powers of smoke billowing from the bronze urnburning incense in front of the main hall. People rub smoke on joints in the hope of easingaches and pains.

(2) Asaskusa Nakamise Shopping Street
Nakamise, a 250-meter approach to Sensoji Temple, is one of the oldest shopping streetsin Japan. The arcade dates from the late 17th century, when local people were granted thespecial right to open shops along the approach to the temple. Their shops sold toys, sweets,
snacks, and souvenirs. The shopping street was destroyed in the Great Kanto Earthquakeof 1923 and also in the air raids of 1945. Today's shops sell traditional knick-knacks, ricecrackers, and festival foods. The street bustles and in color and motion suggests Old Edo.

(3) Edo-Tokyo Museum
The Edo-Tokyo Museum shows how the 15th-century village of Edo grew to be Tokyo, oneof the largest cities in the world. The museum, established in 1993, recounts this story ofremarkable growth through life-size replicas and detailed scale models. There is a life-sizereconstruction of the Kabuki Theater, and reconstructions of Edo Castle and Nihonbashi
Bridge. The museum accommodates international visitors with English explanations of
exhibits, headphone sets, and volunteer English-speaking guides. The museum's futuristicbuilding was designed after an elevated-floor type warehouse. It rises 62.2 meters, which
was the height of the tallest tower of Edo Castle. With a total area of about 30,000 square
meters, it is 2.4 times larger than the playing field of Tokyo Dome.

ISAP2013

Program12

ISAP2013 TUTORIAL
Monday, July 1, 2013
Tutorial Session

Academy Common Room A1

Chair: Yoshikazu Fukuyama, Meiji University, Japan

1:00 pm - 2:10 pm
Data Mining Applications in Energy and Power Systems
Zita Vale, Polytechnic of Porto, Portugal
Abstract:
Data mining techniques are used to discover useful information in large amounts ofdata. Artificial intelligence techniques as well as statistical tools are used to identify
trends, patterns, and relationships that are not obvious and that cannot be easily
determined otherwise. The identification of hidden rules in the available data enables toobtain additional information as a part of a knowledge discovery process.
Data mining techniques are used in business intelligence, namely for obtaining
knowledge about customers and to enable more effective business strategies. The
present operation of energy and power systems, strongly based on computer
processing, produces huge amounts of data, making the use of data mining approaches
increasingly important. The obtained knowledge is crucial for the effective operation of
power systems and for supporting electricity markets players decisions, namely due tothe increasing decision making decentralization trend.
This tutorial will address the basic concepts of data mining, the main used techniques
and illustrate the importance of data mining application in energy and power systems.
The addressed examples will include cases concerning electricity markets, energy
management, and electricity consumers profiling.
Biography:
Zita Vale received the BSC in 1986, the PhD in 1993 and Agregação
in 2003, from the University of Porto. She has been working in theapplication of Artificial Intelligence techniques to Power Systems since1988. She has been involved in several projects involving thedevelopment and use of Knowledge-Based systems, Multi-Agentsystems, Genetic Algorithms, Neural networks, Particle SwarmIntelligence, Constraint Logic Programming and Data Mining. The main
application fields of her work are smart grids, electricity markets, anddistributed energy resources scheduling.
She is Professor of Power Systems in the School of Engineering of the Polytechnic ofPorto (ISEP/IPP). She is the Director of GECAD - Knowledge Engineering and
Decision-Support Research Center, a research center with more than one hundred
researchers, settled at ISEP/IPP. She is a coordinator researcher of GECAD where shecoordinates the Power and Energy Systems group.

ISAP2013

Program13

2:30 pm - 3:40 pm
Mean-Variance Mapping Optimization- Background and Application to Power Systems
Prof. Dr.-Ing. habil. István Erlich, University of Duisburg-Essen, Germany
Abstract:
The mean-variance mapping optimization (MVMO) is a recent addition to theemerging field of meta-heuristic optimization methods. Its unique feature is a special
mapping function used for mutating the offspring based on the mean and variance ofthe n-best solutions attained so far and saved in a continually-updating archive.
The tutorial will provide an overview about the fundamentals of the MVMO and its
extensions from the classical single-particle implementation to the swarm approach
using multi-parent crossover as well as to the recently developed hybrid (memetic)
version with embedded local search strategy. Unlike other swarm based optimization
techniques, MVMO does not strictly require several particles to proceed. But by using
more than one particle the global searching capability required to solve complex
problems can be extended considerably. The hybrid version is activated by setting
only one input parameter, which is the probability for local search. Depending on thenature of the problem to be solved, the local search strategy can lead to a very fast
convergence behavior.
The algorithm and the evolution of MVMO will be demonstrated first graphically byusing classical benchmark functions. Then, several examples in different powersystem application fields are used to show the performance and capability of MVMOin comparison with other established meta-heuristic optimization methods.
Biography:
István Erlich received his Dipl.-Ing. degree in electrical engineeringfrom the University of Dresden/Germany in 1976 and his PhD in 1983
from the same university. After his studies, he worked in Hungary,
Berlinand Dresden (Germany) in different fields of power engineering.
Since 1998, he is Professor and head of the Institute of ElectricalPower Systems of the University Duisburg-Essen/Germany. His major
scientific interest is focused on power system stability and control,modeling and simulation of power system dynamics including
intelligent system applications, smart grids and renewable energy sources. He is amember of VDE and senior member of IEEE. He is the chair of the IEEE PES German
Chapter and the IFAC Technical Committee 6.3 on Power and Energy Systems.

ISAP2013

Program14

4:00 pm - 5:10 pm
Multi-agent Approach to Power System Applications
Takeshi Nagata, Hiroshima Institute of Technology, Japan
Abstract:
Multi-agent systems are seen from the scientific and industrial prospective as oneof the most important trends for the next power systems. Recently, agents havebecome the focus of intense research in fields such as computer science and artificial
intelligence. Intelligent agents are a new paradigm for developing software
applications. An agent is defined as one that interacts between external
environments, cooperates with other agents and processes to solve problems
autonomously.
In the power systems, multi-agent has been studied in a variety of applications,such as market simulation, restoration, unit commitment, substation automation,
monitoring, smart grid operation, diagnosis, and voltage control.
This tutorial will firstly explain the basic concept of software agent and thendemonstrate applications for power system restoration, voltage and reactive power
control and micro-grid operation.
Biography:
Takeshi Nagata received M.Sc. and Ph.D. degrees from Hiroshima
University in 1980 and 1995 respectively. Following his industrial
experience at TOSHIBA Corporation and academic experience, hebecame a Professor of Hiroshima Institute of Technology. He was
Dean of the Faculty (2006－2009). Dr. Nagata is a member of IEEE,
IEEJ, and IPC (Information Processing Society of Japan).

ISAP2013

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15

PLENARY TALKS
Tuesday, July 2, 2013

Academy Hall

9:30 am - 11:00 am
Plenary Session 1
Chair: Junichi Murata. Kyushu University, Japan

Bayesian Network and Its Applications with Big-data
Youichi Motomura, AIST (The National Institute of Advanced Industrial Science andTechnology), Japan
Abstract:
Bayesian network is defined by a graph structure, which considers random variables
to be nodes, and in which a conditional probability distribution is allotted to each node.
Bayesian networks are useful as a non-deterministic modeling like human behavior
modeling. In this talk, Bayesian network models and statistical learning and probabilistic
inference methods are introduced. Using software using the models and methods, some
useful applications are realized. Information recommendation systems using Bayesian
networks are also shown. Constructing Bayesian networks for practical applications
require large amount of data. Thus, the size of data is essential to construct practical
Bayesian networks.
Now, many types of data from sensors, Internet, mobile devices can obtain and they
are called ‘big data’. We can utilize big data to construct computational models thatpredict user's behavior, consumer's preference, and so on. For these purposes,
Bayesian network are convenient because statistical learning and probabilistic inference
method can be applicable on the models. Bayesian networks have advantage that canrepresent mutual interaction for situation depend user's preference models. One good
example is a movie recommendation depends on out/in door situations with different
partners. In order to get big data corresponding to many kind of different situations, pointof act data collection scheme during service providing is necessary. Bayesian networks,
which can predict customer behavior, can be used as computational resources for many
information services.
Biography: Youichi Motomura received the M.Sc. degree from University ofElectro-Communications, Tokyo, Japan, in 1993. He joinedElectrotechnial Laboratory as a research scientist in 1993. He was avisiting scientist in University of Amsterdam in 1999. He is currently adeputy director in Center for Service Research in the National Institute ofAdvanced Industrial Science and Technology (AIST).

ISAP2013

Wednesday, July 3, 2013

Program16

Academy Hall

9:30 am - 11:00 am
Plenary Session 2
Chair: Atsushi Ishigame, Osaka Prefecture University, Japan

Cyber-Physical System Security in a Smart Grid Environment
C. C. Liu, Washington State University, USA/University of College Dublin, Ireland
Abstract:
A smart grid supports the flows of both electricity and information to enable
innovations in monitoring, control, protection, production, and customer participation andachieve a high level of energy efficiency and power grid reliability for the future. With therapidly increasing network connectivity, however, cyber security has become a major
concern. Manipulation of sensitive operational data in a smart grid environment cancause severe damages, such as cascading events leading to catastrophic outages. Dueto the strong interdependencies between the power infrastructure and IT connectivity,
the cyber-physical system security of the generation, transmission, and distribution
facilities must be strengthened. On the customer side of a smart grid, cyber intrusion
detection is needed for secure design of the smart meter infrastructure.
Critical cyber assets of a power grid includes Supervisory Control And Data
Acquisition (SCADA) systems, Phasor Measurement Units (PMUs), substations, power
plants, distribution systems, renewables, and smart meters. Both cyber and physicalsystems need to be modeled for an integrated vulnerability assessment of the grid.
Anomaly detection identifies events on cyber systems that are indicative of potential
intrusions. It is based on systematic extraction of intrusion footprints that can be inferredfrom credible intrusion events across the computer networks at the substations. Impact
analysis evaluates the consequence of cyber intrusions on the power grid. It is achievedby cyber-power system simulations in a way similar to the present contingency
evaluations for on-line security assessment. An impact factor is used to evaluate how
substation outages impact the entire power system. Mitigation determines preventive or
remedial actions to avoid damages caused by cyber intrusions.
This presentation will discuss the methodology for cyber-physical system security of
the future power grid. Scenarios demonstrated on industry grade SCADA and substation
automation test beds will be used to illustrate anomaly detection and mitigation
techniques.
Biography:
Chen-Ching Liu is Boeing Distinguished Professor at Washington
State University (WSU), Pullman, USA, and Professor of Power Systems
at University College Dublin (UCD), Ireland. At WSU, Professor Liu
serves as Director of the Energy Systems Innovation (ESI) Center.
During 1983-2005, he was a Professor of Electrical Engineering atUniversity of Washington, Seattle. Dr. Liu was Palmer Chair Professor at
Iowa State University from 2006 to 2008. From 2008-2011, he served as
Deputy/Acting Principal of the College of Engineering, Mathematical andPhysical Sciences at UCD. Dr. Liu received his Bachelor's and Master's degrees from
National Taiwan University and Ph.D. from the University of California, Berkeley.

ISAP2013

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17

Professor Liu received an IEEE Third Millennium Medal in 2000 and the Power andEnergy Society Outstanding Power Engineering Educator Award in 2004. In 2013, Dr.
Liu was recognized with a Doctor Honoris Causa by Polytechnic University of Bucharest,
Romania.
Chen-Ching chaired the IEEE Power and Energy Society Fellow Committee,
Technical Committee on Power System Analysis, Computing and Economics, andOutstanding Power Engineering Educator Award Committee. Dr. Liu is one of thefounders of the ISAP symposium series; he served as President of the International
Council of ISAP and is chairing the ISAP Board of Directors. He is a Member of the US
National Academies Board on Global Science and Technology. Professor Liu is a Fellowof the IEEE.

2:30 pm - 4:00 pm
Plenary Session 3
Chair: Tomonobu Senjyu, University of Ryukyus, Japan

Outline of Verification Program in Smart Community Keihanna(Kyoto)Yoichi Hangai, Mitsubishi Heavy Industries Ltd., Japan
Abstract:
There are four major “Smart Community Projects” in Japan (Yokohama, Toyota-City,
Kita-kyusyu and Kyoto) since 2010 , and this session is focused on Kyoto project.
In the project of Kyoto, the energy management system is started for every demand
sector of energies in a residence (HEMS), at building (BEMS) and for managing Electric
Vehicles (EV-Center), and CEMS (Community Energy Management System) is also
starting in order to unify these xEMS.
This report is more focused on the price guidance type demand response program ona scale of 700 households for a residence in Kyoto. It shows the whole approach fromdesigning program to the effect of actual proof.
The program menu is based on the large-scale market research which amounts to64000 persons who live in Kansai area. The degree of preference of a charge menu,
price elasticity, and an energy-saving intention were investigated, and the higher order of
performance is TOU, CPP, PTR and RTP. Then TOU and CPP menu are applied toactual proof. Furthermore, in the actual proof of 700 households in last summer, theperformance of peak cut was -4.6% reductions by TOU and -9.3% reductions by CPP.
Price elasticity has become about 0.1.
Biography:
Yoichi Hangai received the M.Sc. in Mechanical Engineering from
Osaka University, Osaka, Japan, in 1996,. He is currently Program
manager in Mitsubishi Heavy Industries (MHI), and manages several“Smart Community Project”. Prior to joining MHI, He worked as aconsultant in Boston Consulting Group.

ISAP2013

Program18

PANEL SESSION
Tuesday, July 2, 2013
11:20 am - 12:50 pm
Panel Session 1

Academy Hall

PV Output Estimation Technology and its
Applications in Distribution Systems

Organizer & Chair: Ryoichi Hara, Hokkaido University, Japan
Abstract:
Installation of photovoltaic (PV) system is attracting world-wide attentions to achieveenhancement in energy security and mitigation of environmental impact. On the other
hand, the massive installation of PV would bring some demerits to the electric powersystem operation. Especially in the distribution system level, voltage fluctuation, overvoltages, and/or unbalanced voltages caused by unstable, intermittent and unpredictable
generation output from PV are becoming serious issues. The feeder power flow variation
caused by simultaneous disconnection of PVs after a fault or an instantaneous voltage
drop makes the fault restoration operation more difficult and complicated.
Against the above demerits, the online PV output estimation technologies have beendeveloped. PV output estimation enables the online observation of PV output and actualload. This technology could provide the following new functions to the conventional
distribution automation systems:- Fast and adequate distribution system restoration after a fault occurrence- Avoidance of malfunction of islanding detection system of PVs- Sophisticated feeder voltage management in distribution systems
In this session, some of technology developments and their applications will be
introduced and further potential applications will be discussed.
Panelists:
Ryoichi Hara, Hokkaido University, Japan
Yuzuru Ueda, Tokyo Institute of Technlogy, Japan
Pathom Attaviriyanupap, Mitsubishi Electric Corporation, Japan
Naotaka Okada, CRIEPI, Japan

2:30 pm - 4:00 pm
Panel Session 2

Academy Hall
Current Status and Challenges of EV
Penetration to Smart Grid

Organizer & Chair: Chan-Nan Lu, National Sun Yat-sen University, Taiwan

ISAP2013

Program

19

Abstract:
This panel discusses the current status and challenges of EV penetration to Smart
Grid. V2G techniques play a key role to smooth Smart Grid operation and planning. As
EVs are widely spread, the necessity of the connection of EVs to smart grid is of mainconcern in the power industry. A group of EVs is used as a kind of energy storage torealize operation and planning of Smart Grid. It may be one of tools to cut off the peakload of the daily load curve or level off the loads. Also, it is useful for reserves to restore
the outages. In this panel, the current status of the EV penetration in Taiwan, Portugal
and Japan are discussed.
Panelists:
Chan-Nan Lu, National Sun Yat-sen University, Taiwan
Zeta Vale, Polytechnic of Porto, Portugal
Yutaka Ota, The University of Tokyo, Japan

4:20 pm - 6:20 pm

Academy Hall

Panel Session 3

Practical Demonstration Projects in Japan

Organizer & Chair: Yoshikazu Fukuyama, Meiji University, Japan
Abstract:
Challenges for realizing smart community in Japan include demand response using
various energy management systems and effective use of renewable energies in thesouth-west island regions. In this session, we survey three recent practicaldemonstration projects and Demand Response status in Japan.
Demand Response is one of the key issues for realizing effective energy
management. We introduce brief overviews of differences between Japan and othercountries in electric power supply and demand environments, and Demand Response
policies. Developing smart communities and Demand Response programs wereoriginally one of the chief political targets of the Japanese electric industry as themeasures of installing large capacity of renewable resources and smart meters. After theGreat East Japan Earthquake in 2011, they are expected to play roles to keep Japanese
power system reliability. Keihanna and Kitakyushu Projects are introduced. Keihanna
Eco City Project is one of the ‘Next-generation energy social System’ that is a five years(2010-2014) experimental verification project selected by METI (Ministry of Economy,
Trade and Industry). We introduce CEMS (Community Energy Management System) for
the optimal utilization of renewable energy sources at the model area in Keihanna
Science City. At Kitakyushu City in Japan, one of the smart community projects has beentested. Demand Response is one of most important tests in the project. We introduce theresults of the Demand Response in the last summer and winter for both small scalecustomers and large scale customers.
Integrating wind power generation into small islands has been one of thedemonstration projects in Okinawa Prefecture, Japan. Since such integration could
deteriorate power quality, including voltage and frequency, in an island grid, a voltage
and frequency-stabilizing system using flywheels has been integrated into a small island.

ISAP2013

Program20

Panelists:
Yoshikazu Fukuyama, Meiji University, Japan
Nobuyuki Yamaguchi, CRIEPI, Japan
Masaki Inomoto, Mitsubishi Electric Corporation, Japan
Tatsuya Iizaka, Fuji Electric, Japan
Koji Yamashita, CRIEPI, Japan

Tuesday, July 3, 2013
11:20 am - 12:50 pm
Panel Session 4

Academy Hall

Data Assimilation Techniques with
Applications to Smart Grid

Organizer & Chair: Kazuyuki Nakamura, Meiji University, Japan
Abstract:
Data assimilation (DA) is the concept which combines numerical simulation models
with sparse observed data to estimate uncertain physical variables, originally developedin the meteorology and oceanography. Recently it is applied to various research fields
such as climatology, geotechnical engineering, systems biology and ecology. The
important feature of DA is ability of giving estimates of unobserved variables generated
from large scale nonlinear system by utilizing prior knowledge. Power systems are also
large scale and nonlinear systems, and therefore, it is reasonable to suppose that data
assimilation could be applied to power systems. In the panel session, the concept andapplications of DA and related researches on power systems will be firstly reviewed, andthen applicability of DA to power systems will be discussed, especially focusing on theestimation and prediction of the renewable energy prediction and smart grid systems.
Panelists:Kazuyuki Nakamura, Meiji University, Japan
Takayuki Shuku, Okayama University, Japan
Takashi Nakajima, Tokai University, Japan

4:20 pm - 5:50 pm
Panel Session 5

Academy Hall
Recent Trends and Future Research
Directions in Evolutionary Multiobjective
Optimization

Organizer & Chair: Hisao Ishibuchi, Osaka Prefecture University, JapanISAP2013

Program

21

Abstract:
Evolutionary multiobjective optimization (EMO) has been an active research area in
the field of evolutionary computation in the last two decades. Since almost all real-world
problems have conflicting objectives such as quality maximization and cost minimization,
application fields of EMO are unlimited from production planning and scheduling to
network design, portfolio optimization and data mining. The main characteristics of EMO
algorithms are that a number of non-dominated solutions with different tradeoffs are
obtained by their single run. Whereas well-known EMO algorithms such as NSGA-II,
SPEA2 and MOEA/D have already been proposed and successfully used in various
application fields, the EMO area still has a number of interesting and promising researchissues. One current hot issue is how to handle many-objective problems by EMO
algorithms. Many-objective problems are difficult to handle because they usually have ahuge number of non-dominated solutions. In this case, the presentation of obtained
solutions with different tradeoffs to human users in a visually understandable manner isalso difficult due to high dimensionality of objective vectors. The handling of large data in
multiobjective machine learning is another hot issue in the EMO area. In this panel,experts on many-objective optimization, visualization and multiobjective machinelearning will discuss the current trends and future directions of these hot issues.
Panelists:
Hisao Ishibuchi, Osaka Prefecture University, Japan
Hiroyuki Sato, University of Electro-Communications, Japan
Tomohiro Yoshikawa, Nagoya University, Japan
Yusuke Nojima, Osaka Prefecture University, JapanISAP2013

Program

TECHNICAL PROGRAM
Monday, July 1, 2013

Academy Common Room A1

Tutorial Session
Chair: Yoshikazu Fukuyama, Meiji University, Japan

1:00 pm - 2:10 pm
Data Mining Applications in Energy and Power Systems
Zita Vale, Polytechnic of Porto, Portugal

2:30 pm - 3:40 pm
Mean-Variance Mapping Optimization –Background and Application to Power
Systems
István Erlich, University of Duisburg Essen, Germany

4:00 pm - 5:10 pm
Multi-agent Approach to Power System Applications
Takeshi Nagata, Hiroshima Institute of Technology, Japan

Tuesday, July 2, 2013
9:00 am - 9:30 am

Academy Hall

Opening
9:30 am - 11:00 am

Academy Hall

Plenary Session 1
Chair: Junichi Murata. Kyushu University, Japan
Bayesian Network and Its Application with Big-data
Youichi Motomura, AIST, Japan

11:20 am - 12:50 pm

Academy Hall

Panel Session 1 PV Output Estimation Technology
and its Application in Distribution Systems
Organizer & Chair: Ryoichi Hara, Hokkaido University, Japan
Overview of PV Output Estimation
Ryoichi Hara, Hokkaido University, Japan

22

ISAP2013

Program23

Realtime Estimation of PV Power Generation for Advanced Operation of PowerDistribution Network
Yuzuru Ueda, Tokyo Institute of Technlogy, JapanPV Output Estimation Based on Solar Irradiation and Power Flow in Distribution
SystemPathom Attaviriyanupap, Mitsubishi Electric Corporation, JapanAn Islanding Prevention Method by Avoiding Dead Zone of Islanding Detection
Naotaka Okada, CRIEPI, Japan

11:20 am - 12:50 pm

Academy Common Room A1

Technical Session 1

Electric Vehicles

Chair: Sekyung Han, AIST, Japan
Online Algorithm to Coordinate Electric Vehicles' Charging with Renewable Power
Generation (803)
F. J. Soares, INESC TEC, Portugal, J. A. Peças Lopes, INESC TEC / University of Porto,
PortugalIntelligent System of the EV Smart Charging Bbased on PV Curve Analysis (827)Takaharu Ishida, Hitachi, Ltd., Japan
Electric Vehicle Charging Impacts Mitigation by Feeder Reconfiguration (910)
Chieh-Min Chan, Hung-Ru Liou, Chan-Nan Lu, National Sun Yat-sen University, Taiwan
Simulated Annealing Approach Applied to the Energy Resource Management
Considering Demand Response for Electric Vehicle (935)
Tiago Sousa, Zita Vale, Polytechnic Institute of Porto, Portugal, Hugo Morais, Polytechnic
Institute of Porto, Portugal / Technical University of Denmark, Denmark

11:20 am - 12:50 pm

Academy Common Room A2

Technical Session 2

Distribution Systems 1

Chair: Zita Vale, Polytechnic of Porto, Portugal
Optimal Distributed Generation Coordination by using Artificial Bee Colony (812)
Mohd Nabil Bin Muhtazaruddin, Goro Fujita, Shibaura Institute of Technology, Japan
Reconfiguration of A Distribution System with Load Uncertainty (822)
B. Moradzadeh, K. Tomsovic, University of Tennessee, USA
Security Constrained Intelligent Reconfiguration of MVDC Shipboard Power System(823)
Pedram Jahangiri, Iowa State University, USA,
Farshid Shariatzadeh, Anurag K. Srivastava, Washington State University, USA
A New Tabu Search Method for Capacitor Placement in Distribution Networks (848)
Yoshihiro Ogita, Hiroyuki Mori, Meiji University, JapanISAP2013

Program

11:20 am - 12:50 pm

Academy Common Room A3

Technical Session 3

Smart Grid Management 1

24

Chair: Istvan Erlich, University of Duisburg Essen, Germany
Monitoring of Physical Security at Substations in a Power Grid (806)Jing Xie, University College Dublin, Ireland,
Chen Ching Liu, Washington State University, USA / University College Dublin, Ireland
Decomposing Power Consumption on Household Appliances using Non-Intrusive
Load Monitoring integrated with a Home Energy Management System (926)
Men-Shen Tsai, Yu-Hsiu Lin, Shih-Ting Chang , National Taipei University of Technology,
TaiwanDecision support tool for Virtual Power Players: Hybrid Particle Swarm
Optimization applied to Day-ahead Vehicle-To-Grid Scheduling (932)João Soares, Zita Vale, Polytechnic Institute of Porto, Portugal, Hugo Morais, Polytechnic
Institute of Porto, Portugal / Technical University of Denmark, Denmark
Enhancement of Reliability Demand Response by Resource Testing Experiencesin Korea (942)
Tae Hyun Yoo, Dam Kim, Sunwoong Kim, Yong Tae Yoon, Jong-Keun Park, Seoul
National University, Korea

2:30 pm - 4:00 pm

Panel Session 2
Smart Grid

Academy Hall

Challenges of EV Penetration to

Organizer & Chair: Chan-Nan Lu, National Sun Yat-sen University, Taiwan
EV Charging Impacts and Mitigation
Chan-Nan Lu, National Sun Yat-sen University, Taiwan
Challenges and Opportunities for EV Use and Management in Portugal and Europe
Prof. Zita Vale, Polytechnic of Porto, Portugal
V2G Projects and Challenges in Japan
Yutaka Ota, The University of Tokyo, Japan

2:30 pm - 4:00 pm

Academy Common Room A1

Technical Session 4

Multi-Agent Systems 1

Chair: Men-Shen Tsai, National Taipei University of Technology, Taiwan
Multi-agent System for Voltage Control in Distribution Systems (846)Filipe O. Saraiva, Ana C. C. Asada, Eduardo N. Asada, University of São Paulo, Brazil
Agent based Real-Time Decision Making in Active Distribution Networks using
IEC61850 based Functional Ontology (904)Arshad Saleem, Yiming Wu, Lars Nordstrom, Royal Institute of Technology, Sweden

ISAP2013

Program25

Integration in MASCEM of the Joint Dispatch of Energy and Reserves Provided byGeneration and Demand Resources (934)
Tiago Soares, Gabriel Santos, Pedro Faria, Tiago Pinto, Zita Vale, Polytechnic Institute ofPorto, Portugal, Hugo Morais, Polytechnic Institute of Porto, Portugal / Technical Universityof Denmark, Denmark
Virtual Power Players Internal Negotiation and Management in MASCEM (941)
Gabriel Santos, Tiago Pinto, Zita Vale, Isabel Praça, Polytechnic Institute of Porto,
Portugal, Hugo Morais, Polytechnic Institute of Porto, Portugal / Technical University ofDenmark, Denmark

2:30 pm - 4:00 pm

Academy Common Room A2

Technical Session 5

Distribution Systems 2

Chair: Germano Lambert Torres, PS Solutions, Brazil
DC Fuzzy Multicriteria Approach to Increase the Probability of Delivering Power inDistribution Networks (931)
Bruno Canizes, João Soares, Zita Vale, Cristina Lobo, Polytechnic of Porto, Portugal
Basic Study on Neural Network Design for Auto-tap Change Control in Distribution
System (928)
Seiji Yonezawa, Satoshi Takayama, Atsushi Ishigame, Osaka Prefecture University, Japan,
Yasuo Matsuura, Katsuya Abe, Masahiro Minami, Kansai Electric Power Co.Inc, Japan
Multilevel Coordination in Smart Grids for Congestion Management of Distribution
Grid (940)
Junjie Hu, Morten Lind, Technical University of Denmark, Denmark, Arshad Saleem, RoyalInstitute of Technology, Sweden, Shi You, Jacob Østergaard, Technical University of Denmark,Denmark

2:30 pm - 4:00 pm

Academy Common Room A3

Technical Session 6

Power System Analysis 1

Chair: Sri Singn, Indian Institute of Technology, India
Power Quality Events Identification Based on the Stockwell Transform and
Self-Organising MAPS (701)Daniel Gheorghe, Gerhard Krost, Mircea Chindris, Andrei Cziker, Răzvan Vasiliu, Technical
University of Cluj, Romania
Online Estimation of Oscillatory Stability using a Measurement-based Approach(825)
Ce Zheng, Vuk Malbasa, Mladen Kezunovic, Texas A&M University, USA
Harmonics Estimation in Wind and PV Systems using Adaptive Wavelet Neural
Network (828)
Sachin K. Jain, Indian Institute of Information Technology, Design &Manufacturing, Jabalpur, India, S. N. Singh, Indian Institute of Technology Kanpur, India

ISAP2013

Program

26

Suitability of a Dynamic Load Model to Measurement-Based Parameter Estimation(902)
Siming Guo, Thomas J. Overbye, University of Illinois at Urbana-Champaign, USA

4:20 pm - 6:20 pm

Panel Session 3
Japan

Academy Hall

Practical Demonstration Projects in

Organizer & Chair: Yoshikazu Fukuyama, Meiji University, Japan
Challenges of Smart Grid and Smart Community in Japan
Yoshikazu Fukuyama, Meiji University. Japan
Role of Smart Community and Demand Response in a Japanese Context
Nobuyuki Yamaguchi, CRIEPI, Japan
Keihanna Eco City CEMS Demonstration Project
Masaki Inomoto, Mitsubishi Electric Corporation, Japan
Kitakyushu Smart Community Project: Demand Response Field Tests
Tatsuya Iizaka, Fuji Electric Co.. Japan
Development of Frequency and Voltage Stabilizing Scheme for Integrating Wind
Power Generation into a Small Island Grid
K. Yamashita, Y. Kitauchi, T. Nanahara, T. Inoue, CRIEPI, Japan, H. Fukuda, T.
Shiohama, Okinawa Electric Power Co., Japan

4:20 pm - 6:20 pm

Academy Common Room A1

Technical Session 7

Multi-Agent Systems 2

Chair: Takeshi Nagata, Hiroshima Institute of Technology, Japan
Agent-based Optimal Operation of Distributed Generators and Batteries in
Micro-grid (815)
K. Okamoto, T. Nagata, Hiroshima Institute of Technology, Japan
Multi-agent System-based Micro-grid Restoration Framework in Consideration ofDistributed Generators (816)
T. Yokoyama, T. Nagata, Hiroshima Institute of Technology, Japan
Agent-based Simulation of Active Distribution Grids following a Jason-based
Approach (842)
D. Issicaba, J. A. Pecas Lopes, M. A. Rosa, INESC TEC / University of Porto, Portugal
Feedback Gain Optimization in JADE-based Multi-Agent System for Power Plant
Control (905)
Diego F. Estrada, Kwang Y. Lee, Baylor University, USAISAP2013

Program

4:20 pm - 6:20 pm

Academy Common Room A2

Technical Session 8

Load & Price Forecasting27

Chair: Vladimiro Miranda, University of Porto, Portugal
Development of Fuzzy Inference Net for Electricity Price Forecasting (802)T. Itagaki, TEPCO, Japan, Hiroyuki Mori, Meiji University, JapanIntelligent and Hybrid Techniques to Predict Short-term Electricity Prices: A Review(820)
Gerardo J. Osório, João C. O. Matias, João P. S. Catalão, University of Beira Interior /Technical University of Lisbon, Portugal
A Hybrid Model for Forecasting Time-Varying Reactive Power Load of Power
Systems (843)
Yan Xu, University of Newcastle, Australia, Shanshan Liu, EPRI, USA, ZhaoYang Dong,
University of Sydney, Australia, Rui Zhang, University of Newcastle, Australia, Matt
Koenig, Consolidated Edison, USA, Adam Wigington, EPRI, USA
Study of Factors Affecting the Long-term Spanish Electricity Price Formation andCorresponding Validation Using Long-term Forecast Models (844)Maria Ortiz, Olatz Ukar, Ruben Barrio, Deusto Institute of Technology / University of Deusto,
Spain, Filipe Azevedo, Polytechnic of Porto / INESC TEC, Portugal
A Densification Trick Using Mean Shift to Allow Demand Forecasting in Special
Days with Scarce Data (936)Jean Sumaili, INESC TEC, Portugal, Vladimiro Miranda, INESC TEC, Portugal / Universityof Porto, Portugal, Liviane Rego, Ádamo Santana, Carlos Francês, Federal University ofPará, Brazil

4:20 pm - 6:20 pm

Academy Common Room A3

Technical Session 9

Micro Grid

Chair: Toshihisa Funabashi, Meidensha, Japan
Hybrid Principal Component Analysis Neural Network-based Nonintrusive Energy
Monitoring in Industrial Microgrid (819)
Ying-Yi Hong, Jing-Han Chou, Chung Yuan Christian University, Taiwan, Yung-Ruei
Chang, Yih-Der Lee, Hui-Chun Huang, Institute of Nuclear Energy Research, Taiwan
Optimal Generation Schedule of Micro-Grids Considering the Uncertainties ofForecasts (826)Peng Zhang, Hirotaka Takano, Junichi Murata, Kyushu University, Japan, Tatsuya Iizaka,
Yosuke Nakanishi, Fuji Electric Co., Japan
Real-time Optimal Energy Management for Islanded Microgrid by Dynamic
Economic Load Dispatch Considering Uncertainty of Renewable Generations (831)Ango Sobu, Guohong Wu, Tohoku Gakuin University, Japan
Fuzzy Controlled Smart Park for Frequency Regulation with Improved LVRTCapability in a Microgrid (921)
S.Mishra, P.C.Sekhar, T.Mahesh, Indian Institute of Technology Delhi, India, Manoj
Lonkar, Crompton Greaves Limited, India

ISAP2013

Program28

Operation Method of Micro Grid Using the Forecasting Method by Neural Network(929)
Tomoki Kinno, Kazuto Yukita, Yasuyuki Goto, Katsuhiro Ichiyanagi, Aichi Institute ofTechnology, Japan, Takashi Takeda, Tomohito Ushirokawa, Keiichi Hirose, NTT Facilities
Inc., Japan, Takuya Oota, Yoshiaki Okui, SANYO DENKI, Japan

Wednesday, July 3, 2013
9:30 am - 11:00 am

Academy Hall

Plenary Session 2
Chair: Atsushi Ishigame, Osaka Prefecture University, Japan
Cyber-Physical System Security in a Smart Grid Environment
C. C. Liu, Washington State University, USA/University of College Dublin, Ireland

11:20 am - 12:50 am

Academy Hall

Panel Session 4 Data Assimilation Techniques with
Applications to Smart Grid
Organizer & Chair: Kazuyuki Nakamura, Meiji University, Japan
Review on Data Assimilation Methodologies
Kazuyuki Nakamura, Meiji University, Japan
Data Assimilation in Geotechnical Engineering
Takayuki Shuku, Okayama University, Japan
Estimation of solar irradiance from satellites
Takashi Nakajima, Tokai University, Japan

11:20 am - 12:50 am

Academy Common Room A1

Technical Session 10

PV Systems

Chair: Joao Gari da Silva Fonseca Jr., AIST, Japan
Forecasting of PV Power Output Based on Support Vector Regression andFuzzy Inference Approach (833)
Hong-Tzer Yang, Yi-Shiang Pai, Cheng Kung University, Taiwan,
Chao-Ming Huang, Kun Shan University, Taiwan, Yann-Chang Huang, Kun-Yuan Huang,
Cheng Shiu University, Taiwan
Optimal Allocation of Mega-solar Power Stations using Feasibility-improved DEA(849)
Shinya Yokota, Teruhisa Kumano, Meiji University, JapanISAP2013

Program29

Uncertainty Information in Forecasts of Photovoltaic Power Generation with
Support Vector Regression: A Preliminary Study (920)
Joao Gari da Silva Fonseca Junior, Takashi Oozeki, Hideaki Ohtake, Ken-ichi Shimose,
Takumi Takashima, AIST, Japan, Kazuhiko Ogimoto, University of Tokyo, Japan
Input Variable Selection of Solar Radiation Forecasting with Graphical Modeling(946)
Masato Takahashi, Hiroyuki Mori, Meiji University, Japan

11:20 am - 12:50 am

Academy Common Room A2

Technical Session 11
ControlPower System and Plant

Chair: Koji Yamashita, CRIEPI, Japan
Fuzzy Modeling and Control of a Large-Scale Power Plant Using Clustering andSubspace Methods (805)
Xiao Wu, Jiong Shen, Yiguo Li, Southeast University, China, Kwang Y. Lee, Baylor
University, USA
An Output Error Model and Robust PSS Design for Interconnected Power
Systems (845)
Cuk Supriyadi Ali Nandar, Hirotaka Takano, Junichi Murata, Kyushu University, Japan
Optimal Operation of Voltage Reactive Power Control by PaLSCO with Lbest Model(915)
Takaaki Okubo, Naoya Umegaki, Satoshi Takayama, Atsushi Ishigame, Osaka Prefecture
University, Japan, Takaaki Shimone, The Kansai Electric Power Co., Japan
Robust Design of Local and Wide-Area Damping Controls Using Particle Swarm
Optimization and Improved Operating Point Selection (943)
Diogenes Molina, John Seuss, Georgia Institute of Technology, USA, Ganesh Kumar
Venayagamoorthy, Clemson University, USA, Ronald G. Harley, Georgia Institute ofTechnology, USA / University of KwaZulu-Natal, South Africa

11:20 am - 12:50 am

Academy Common Room A3

Technical Session 12

Smart Grid Management 2

Chair: Gerhard Krost, University of Duisburg Essen, Germany
Real Implementations of Intelligent Alarm Processing (835)Germano Lambert-Torres, PS Solutions, Brazil, Carlos Henrique Valério de Moraes, Luiz
Eduardo Borges da Silva, Maurilio Pereira Coutinho, Itajuba Federal University, Brazil
Harmony Search Algorithm for Optimal PMU Placement (919)
Oguzhan Ceylan, Aydogan Ozdemir, Istanbul Technical University, Turkey
Contextual Intelligent Load Management Considering Real-Time Pricing in a Smart
Grid Environment (933)Luis Gomes, Filipe Fernandes, Pedro Faria, Zita Vale, Carlos Ramos,
Polytechnic Institute of Porto, Portugal, Hugo Morais, Polytechnic Institute of Porto,
Portugal /Technical University of Denmark, Denmark

ISAP2013

Program30

Perspectives on Peer-to-Peer Data Delivery Architectures for Next Generation
Power Systems (944)
Yiming Wu, Lars Nordström, Arshad Saleem, Kun Zhu, Nicholas Honeth, Mikel Armendariz,
Royal Institute of Technology, Sweden

2:30 pm - 4:00 pm

Academy Hall

Plenary Session 3
Chair: Tomonobu Senjyu, University of Ryukyus, Japan
Outline of Verification Program in Smart Community Keihanna (Kyoto)
Yoichi Hangai, Mitsubishi Heavy Industries Ltd., Japan

4:20 pm - 5:50 am

Academy Hall

Panel Session 5 Recent Trends and Future Research
Directions in Evolutionary Multiobjective Optimization
Organizer & Chair: Hisao Ishibuchi, Osaka Prefecture University, Japan
Introduction to Evolutionary Multiobjective Optimization
Hisao Ishibuchi, Osaka Prefecture University, Japan
Evolutionary Many-Objective Optimization
Hiroyuki Sato, University of Electro-Communications, Japan
Visualization of Pareto Optimal Solutions for Knowledge Extraction
Tomohiro Yoshikawa, Nagoya University, Japan
Parallel Distributed Evolutionary Multiobjective Machine Learning
Yusuke Nojima, Osaka Prefecture University, Japan

4:20 pm - 5:50 am

Academy Common Room A1

Technical Session 13

Wind Power Generation

Chair: Ying-Yi Hong, Chung Yuan Christian University, Taiwan
A Wind Power Forecasting Method with Confidence Intervals using Fuzzy Inference(810)
Tatsuya Iizaka, Naoto Ishibashi, Tohru Katsuno, Fuji Electric Co., Japan, Hiroyuki Mori, Meiji
University, JapanA Data Driven ANFIS-based Very Short Term Forecast of Wind Power Output and its
Impact on the Reduction of Necessary Battery Capacity (832)Teruhisa Kumano, Hiroki Saito, Meiji University, Japan
Wind Farm Distribution Network Optimization Based in a Hierarchical GA (837)
José Baptista, E. J. Solteiro Pires, INESC TEC, Portugal / Universidade de Trás-os-Montes
e Alto Douro, Portugal, Adelaide Cerveira, Centro de Investigacao Operacional, Portugal /Universidade de Trás-os-Montes e Alto Douro, Portugal

ISAP2013

Program31

Mean-Variance Mapping Optimization for the Solution of Power System Problems(916)
José L. Rueda, István Erlich, University Duisburg-Essen, Germany

4:20 pm - 5:50 am

Academy Common Room A2

Technical Session 14

Substation Automation

Chair: Masashi Kitayama, Mitsubishi Electric Co., Japan
Detection of Distribution Transformer Phase Error Using AMI and SCADA Data (817)
Yuan Liang Lo, Shih-Jhe Huang, Chan-Nan Lu, National Sun Yat-sen University, Taiwan
Application of Discrete PSO and Evolutionary PSO to the Coordination of
Directional Overcurrent Relays (838)
Wellington M. S. Bernardes, Fabio M. de P. Santo, Eduardo N. Asada, University of São
Paulo, Brazil, Silvio A. de Souza, Meronides J. Ramos, ISA-CTEEP, Brazil
Breaker Status Uncovered by Autoencoders under Unsupervised Maximum Mutual
Information Training (841)
Vladimiro Miranda, INESC TEC / University of Porto, Portugal, Jakov Krstulovic, INESC
TEC / University of Porto, Portugal / University of Split, Croatia, Joana Hora, Vera Palma,
INESC TEC, Portugal, José C. Príncipe, University of Florida, USA
A Fuzzy Approach for Mitigating Voltage Fluctuation of a Primary Substation Bus(922)
G. W. Chang, H. J. Su, K. Y. Lin, H. J. Lu, C. H. Hsu, National Chung Cheng University,
Taiwan4:20 pm - 5:50 am

Academy Common Room A3

Technical Session 15

Power System Analysis 2

Chair: Thomas Overbye, University of Illinois at Urbana-Champaign, USA
Multi-objective Metaheuristics for Network Decomposition (801)
Tatsuki Nakadoi, Hiroyuki Mori, Meiji University, Japan
Optimal Location and Size of Active Power Line Conditioners in Power System (809)
S.N. Singh, Indian Institute of Technology Kanpur, India, D Saxena, Invertis University, India,
Sayak Bhaumik, Indian Institute of Technology Kanpur, India
Visualization of Feasible Regions for Supply and Demand Balance Problems by
Quantifier Elimination (821)
Yoshio Tange, Satoshi Kiryu, Tetsuro Matsui, Fuji Electric Co., Japan,
Yoshikazu Fukuyama, Meiji University, Japan
A Predictive Fuzzy Wavelet Neural Network Power System Stabilizer for
Multi-Machine Power Systems (836)
Ehsan Bijami, Malihe M. Farsangi, Shahid Bahonar University of Kerman, Iran,
Kwang Y. Lee, Baylor University, USAISAP2013

Program32

Thursday, July 4, 2013
9:30 am - 11:00 am

Academy Common Room A1

Technical Session 16

Optimal Power Flow

Chair: Jyunji Kubokawa, Hiroshima Institute of Technology, JapanA Harmony Search Algorithm for Optimal Power Flow Considering Flexible AC
Transmission Systems (818)Chao-Ming Huang, Kun Shan University, Taiwan,
Yann-Chang Huang, Kun-Yuan Huang, Cheng Shiu University, Taiwan,
Hong-Tzer Yang, Cheng Kung University, Taiwan
Autonomous Optimal Power Flow via Object Orientation (901)
A. P. Meliopoulos, Renke Huang, Evangelos Polymeneas, George J. Cokkinides, Georgia
Institute of Technology, USA
Pseudo-Gradient Based Particle Swarm Optimization for Security Constrained
Optimal Power Flow (927)
Dieu Ngoc Vo, Khai Phuc Nguyen, Ho Chi Minh University of Technology, Vetnum, Goro
Fujita, Mohd Nabil Muhtazaruddin, Shibaura Institute of Technology, Japan, Dung Anh Le,
Ho Chi Minh University of Technology, Vetnum

9:30 am - 11:00 am

Academy Common Room A2

Technical Session 17
Operation

Power System Planning &Chair: Tatsuya Iizaka, Fuji Electric, Japan
Fast and Accurate Solution for SCUC Problem using an Enhanced Dual Neural
Network (804)
M. Shafie-khah, University of Beira Interior / INESC-ID / Technical University of Lisbon, Portugal,
M. Parsa Moghaddam, M. K. Sheikh-El-Eslami, Tarbiat Modares University, Iran,João P. S. Catalão, Beira Interior / INESC-ID / Technical University of Lisbon, Portugal
Optimal Operation of Thermal Units Commitment with Demand Response
Considering Uncertainties (824)
Ryosuke Kyoho, Tomonobu Senjyu, Atsushi Yona, University of the Ryukyus, Japan,
Toshihisa Funabashi, Meidensha Corporation, Japan,
Chul-Hwan Kim, Sungkyunkwan University, Korea
Short-Term Transmission Expansion Planning by Using Swarm Mean-Variance
Mapping Optimization (945)
José L. Rueda, István Erlich, University of Duisburg-Essen, Germany

9:30 am - 11:00 am

Academy Common Room A3

Technical Session 18

Intelligent Optimization

Chair: Toshiyuki Sawa, Hitachi Co., JapanISAP2013

Program

33

Reliability and Economy Improvement through Energy Storage in Distribution
Systems Based on Modified Particle Swarm Optimization (807)
Yixing Xu, Chanan Singh, Texas A&M University, USA
Application of Discrete Charged System Search for Maintenance Scheduling ofPower System (834)Cheng-Chieh Chu, Men-Shen Tsai, National Taipei University of Technology, Taiwan
A DAEM-Based Finite Gaussian Mixture Model for Probabilistic Load Flow (839)
Wenjun Jiang, WESCON-Shianghai, China, Hiroyuki Mori, Meiji University, Japan
Optimal Scheduling Method of Controllable Loads in Smart House with
Uncertainties (908)
Akihiro Yoza, Ryosuke Kyoho, Kosuke Uchida, Atsushi Yona, Tomonobu Senjyu, University of
the Ryukyus, Japan

11:20 am - 11:50 am

Closing Session

Academy HallISAP2013

Program34

AUTHORS INDEX
Katsuya Abe ····························································································· 25
Mikel Armendariz ························································································ 30
Ana C. C. Asada ························································································· 24
Eduardo N. Asada ·················································································· 24, 31
Filipe Azevedo ···························································································· 27
José Baptista ····························································································· 30
Ruben Barrio ······························································································ 27
Wellington M. S. Bernardes ··········································································· 31
Sayak Bhaumik ··························································································· 31
Ehsan Bijami ······························································································ 31
Bruno Canizes ···························································································· 25João P. S. Catalão·················································································· 27, 32
Adelaide Cerveira ························································································ 30
Oguzhan Ceylan ························································································· 29
Chieh-Min Chan ·························································································· 23
Shih-Ting Chang ························································································· 24
Yung-Ruei Chang ························································································ 27
G. W. Chang ······························································································ 31
Mircea Chindris ··························································································· 25
Jing-Han Chou ··························································································· 27
Cheng-Chieh Chu························································································ 33
George J. Cokkinides ··················································································· 32
Maurilio Pereira Coutinho ·············································································· 29
Andrei Cziker ····························································································· 25
ZhaoYang Dong ·························································································· 27
István Erlich ·························································································· 31, 32
Diego F. Estrada ························································································· 26
Pedro Faria ··························································································· 25, 29
Malihe M. Farsangi ······················································································ 31
Filipe Fernandes ························································································· 29
Carlos Francês ··························································································· 27
Goro Fujita ···························································································· 23, 32
Yoshikazu Fukuyama ··················································································· 31
Toshihisa Funabashi ···················································································· 32
Daniel Gheorghe ························································································· 25
Luis Gomes ······························································································· 29
Yasuyuki Goto ···························································································· 28
Siming Guo ································································································ 26
Ronald G. Harley························································································· 29
Keiichi Hirose ····························································································· 28
Nicholas Honeth·························································································· 30
Ying-Yi Hong ······························································································ 27
Joana Hora ································································································ 31
C. H. Hsu ·································································································· 31
Junjie Hu ··································································································· 25
Hui-Chun Huang ························································································· 27
Chao-Ming Huang ······················································································· 28
Yann-Chang Huang ····················································································· 28
Kun-Yuan Huang························································································· 28
Shih-Jhe Huang ·························································································· 31

ISAP2013

Program35

Chao-Ming Huang ······················································································· 32
Yann-Chang Huang ····················································································· 32
Kun-Yuan Huang························································································· 32
Renke Huang ····························································································· 32
Katsuhiro Ichiyanagi····················································································· 28
Tatsuya Iizaka ······················································································· 27, 30
Naoto Ishibashi ··························································································· 30
Takaharu Ishida ·························································································· 23
Atsushi Ishigame ···················································································· 25, 29
D. Issicaba ································································································· 26
T. Itagaki ··································································································· 27
Pedram Jahangiri ························································································ 23
Sachin K. Jain ···························································································· 25
Wenjun Jiang ····························································································· 33
Tohru Katsuno ···························································································· 30
Mladen Kezunovic ······················································································· 25
Dam Kim ··································································································· 24
Sunwoong Kim ··························································································· 24
Chul-Hwan Kim ··························································································· 32
Tomoki Kinno ····························································································· 28
Satoshi Kiryu ······························································································ 31
Matt Koenig ······························································································· 27
Gerhard Krost ····························································································· 25
Jakov Krstulovic ·························································································· 31
Teruhisa Kumano ··················································································· 28, 30
Ryosuke Kyoho ····················································································· 32, 33
Germano Lambert-Torres·············································································· 29
Dung Anh Le ······························································································ 32
Kwang Y. Lee ····················································································· 26, 29, 31
Yih-Der Lee ······························································································· 27
Yiguo Li ····································································································· 29
Yu-Hsiu Lin ································································································ 24
K. Y. Lin ···································································································· 31
Morten Lind ································································································ 25
Hung-Ru Liou ····························································································· 23
Chen Ching Liu ··························································································· 24
Shanshan Liu ····························································································· 27
Yuan Liang Lo ···························································································· 31
Cristina Lobo ······························································································ 25
Manoj Lonkar ····························································································· 27
J. A. Peças Lopes ·················································································· 23, 26
Chan-Nan Lu ························································································· 23, 31
H. J. Lu ····································································································· 31
T. Mahesh ································································································· 27
Vuk Malbasa ······························································································ 25João C. O. Matias························································································ 27
Tetsuro Matsui ···························································································· 31
Yasuo Matsuura ·························································································· 25
A. P. Meliopoulos ························································································ 32
Masahiro Minami ························································································· 25
Vladimiro Miranda ·················································································· 27, 31
S. Mishra ··································································································· 27

ISAP2013

Program36

M. Parsa Moghaddam ·················································································· 32
Diogenes Molina ························································································· 29
B. Moradzadeh ··························································································· 23
Carlos Henrique Valério de Moraes ································································· 29
Hugo Morais ·············································································
23, 24, 25, 29
Hiroyuki Mori ······································································ 23, 27, 29, 30, 31, 33
Mohd Nabil Bin Muhtazaruddin·································································· 23, 32
Junichi Murata ······················································································· 27, 29
T. Nagata ································································································ 26, 26
Tatsuki Nakadoi ·························································································· 31
Yosuke Nakanishi························································································ 27
Cuk Supriyadi Ali Nandar ·············································································· 29
Khai Phuc Nguyen ······················································································· 32
Lars Nordstrom ······················································································ 24, 30
Kazuhiko Ogimoto ······················································································· 29
Yoshihiro Ogita ·························································································· 23
Hideaki Ohtake ··························································································· 29
K. Okamoto ································································································ 26
Takaaki Okubo ··························································································· 29
Yoshiaki Okui ····························································································· 28
Takuya Oota ······························································································ 28
Takashi Oozeki ··························································································· 29
Maria Ortiz ································································································· 27
Gerardo J. Osório ························································································ 27
Jacob Østergaard ························································································ 25
Thomas J. Overbye ····················································································· 26
Aydogan Ozdemir························································································ 29
Yi-Shiang Pai ····························································································· 28
Vera Palma ································································································ 31
Jong-Keun Park ·························································································· 24
Tiago Pinto ································································································ 25
E. J. Solteiro Pires ······················································································· 30
Evangelos Polymeneas ················································································ 32
Isabel Praça ······························································································· 25
José C. Príncipe·························································································· 31
Carlos Ramos ···························································································· 29
Meronides J. Ramos ···················································································· 31
Liviane Rego ······························································································ 27
M. A. Rosa ································································································· 26
José L. Rueda ······················································································· 31, 32
Hiroki Saito ································································································ 30
Arshad Saleem ··················································································· 24, 25, 30
Ádamo Santana ·························································································· 27
Fabio M. de P. Santo ··················································································· 31
Gabriel Santos ···························································································· 25
Filipe O. Saraiva ························································································· 24
D. Saxena ································································································· 31
P.C. Sekhar ······························································································· 27
Tomonobu Senjyu ·················································································· 32, 33
John Seuss ································································································ 29
M. Shafie-khah ··························································································· 32
Farshid Shariatzadeh ··················································································· 23

ISAP2013

Program

37

M. K. Sheikh-El-Eslami ················································································· 32
Jiong Shen ································································································ 29
Takaaki Shimone ···················································································
29
Ken-ichi Shimose ··················································································
29
Luiz Eduardo Borges da Silva ···································································
29
Joao Gari Silva Fonseca Junior ·································································
29
S. N. Singh ··························································································· 25, 31
Chanan Singh ·······················································································
33
F. J. Soares ··························································································
23
Tiago Soares ·························································································
25João Soares ·························································································· 24, 25
Ango Sobu ····························································································
27
Tiago Sousa ··························································································
23
Silvio A. de Souza ··················································································
31
Anurag K. Srivastava ··············································································
23
H. J. Su ································································································
31
Jean Sumaili ·························································································
27
Masato Takahashi ··················································································
29
Hirotaka Takano····················································································· 27, 29
Takumi Takashima ······················································································ 29
Satoshi Takayama ·················································································· 25, 29
Takashi Takeda ·························································································· 28
Yoshio Tange ····························································································· 31
Kevin Tomsovic ·························································································· 23
Men-Shen Tsai ······················································································ 24, 33
Kosuke Uchida ··························································································· 33
Olatz Ukar ································································································· 27
Naoya Umegaki ·························································································· 29
Tomohito Ushirokawa··················································································· 28
Zita Vale ······················································································ 23, 24, 25, 29
Răzvan Vasiliu ···························································································· 25
Ganesh Kumar Venayagamoorthy ·································································· 29
Dieu Ngoc Vo ····························································································· 32
Adam Wigington·························································································· 27
Yiming Wu ································································································· 24
Guohong Wu ······························································································ 27
Xiao Wu ···································································································· 29
Yiming Wu ································································································· 30
Jing Xie ····································································································· 24
Yan Xu ······································································································ 27
Yixing Xu ··································································································· 33
Hong-Tzer Yang····················································································· 28, 32
Shinya Yokota ···························································································· 28
T. Yokoyama ······························································································ 26
Atsushi Yona ························································································· 32, 33
Seiji Yonezawa ··························································································· 25
Tae Hyun Yoo ···························································································· 24
Yong Tae Yoon ··························································································· 24
Shi You ····································································································· 25
Akihiro Yoza ······························································································· 33
Kazuto Yukita ····························································································· 28
Rui Zhang ·································································································· 27

ISAP2013

ProgramPeng Zhang ·······························································································
Ce Zheng ··································································································
Kun Zhu ····································································································

38
27
25
30

ISAP2013

Program

MEMO

39

ISAP2013

Program

MEMO

40ISAP2013

Program

MEMO

41

ISAP2013

42

Program

CONFERECE VENUE
Shinjyuku

Akihabara

Registration& Session

Reception

DinnerParty

Academy Common(アカデミーコモン)
Registration 2nd Floor Foyer
Session2nd Floor Room A1-A6
3rd Floor Academy Hall
University Hall(大学会館)
Reception
3rd Floor 301-302
Liberty Tower(リバティタワー)Dinner Party
23rd Floor
Kishimoto Hall

AcademyCommonLiberty
Tower
University
HallISAP201343

ProgramAcademy Common 2nd Floor

Foyer
Men’s Restroom
Women’s Restroom
Cloak

Escalator
to 1st Floor

Escalator to
3rd Floor

Academy Common 3rd Floor (Academy Hall)<--Entrance
Smoking

Women’s
Restroom

Stage

Men’s
Restroom<--Entrance

Escalator to
2nd Floor

Room