bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multi-period Robust Dispatch of Active Distribution Network Based on Scene Analysis Method
Authors: Hu W , Deng Z L , Lu X , Y W , Zhu X , Xu X H 
Published: July 2019

Abstract
With the large-scale access of intermittent renewable energy, the active distribution networks (ADN) is facing great challenges on achieving full consumption and efficient use of intermittent renewable energy on the premise of ensuring safe operation. To resolve these issues, a novel multi-period robust dispatch strategy for ADN based on scene analysis method is proposed in this paper. Then, the second-order cone relaxation (SOCR) is used to transform the original model into a mixed integer second-order cone programming (SOCP), which gains as much improvement as possible in computational performance at the expense of as few losses as possible in accuracy. Finally, numerical test on the modified IEEE 33-bus test system demonstrates that on the premise of realizing the maximum utilization of DG, the proposed strategy can also achieve the purposes of energy-saving, loss reduction and improvement in voltage level.
A Supply and Demand Matching Algorithm for Industry-Park-Level Power System Considering Multiple Timeframe Outputs of Distributed Generators
Authors: Zhang J , Han X Y , Zhang W , Gao J , Zhang Q , Jin X L , Wang Z 
Published: July 2019

Abstract
In this paper, a supply and demand matching algorithm for industry park level energy systems is proposed. The algorithm can provide the configuration scheme of distributed generators installed capacity in line with the given load demand. Comprehensively considering the output characteristics of distributed sources such as wind and photovoltaic generators in different timeframes, the outputs of distributed generators are classified into several typical modes, and the installed capacity of distributed generator is matched in line with the representative output mode and the load demand curve so as to realize the balance of energy supply and demand in the industry park. The energy storage device is used to balance the energy due to the asynchronism of the distributed generator output and the load demand. The capacity requirements of the battery under various installed capacities of distributed generators are provided. The proposed algorithm is programmed in MATLAB and verified by the actual data of an industry park in northeast China. The results show that the proposed algorithm can comprehensively consider the output characteristics of distributed generator in different time ranges, and provide reasonable matching schemes of energy supply.
Multi-objective sequential CHP Placement Based on Flexible Demand in Heat and Electricity Integrated Energy System
Authors: Chen Yuqing , Yang Shihai , Ji Feng , Cao Xiaodong , Li Bo , Zhou Xiaoming 
Published: July 2019

Abstract
In order to improve the overall energy efficiency, one of the important trends in the field of energy is the construction of integrated energy systems. In the energy Internet, the comprehensive demand response makes use of the coupling and complementary relationship between different forms of energy, such as electricity and heat, and carries out the coordinated optimization of energy conversion equipment on the demand side to stimulate the flexibility of the comprehensive energy network, which is conducive to improving energy utilization efficiency and reducing energy supply and consumption cost. In this paper, considering the comprehensive demand side response of electricity and heat, an optimal configuration scheme of combined heat and power (CHP) unit is proposed. The scheme takes voltage amplitude, integrated network loss and economic cost as the comprehensive optimization objective. In order to effectively solve the above problems, this paper applies the sequence configuration strategy, adopts the direct power-thermal power flow method, weighted summation method and improved genetic algorithm to solve the above problems. Finally, the simulation of real medium voltage distribution network in Australia was carried out by MATLAB programming, which verified the rationality and superiority of the model.
Corrosion Mechanism and Corrosion State Detection Method of the Grounding Grid
Authors: Huang H , Liu Y C , Xing Y , Wu J R , Mao X Y , Wu Y Y , Peng M F 
Published: July 2019

Abstract
Corrosion of grounding grids can affect the safe and reliable operation of power systems. In view of the corrosion problem of the grounding grid, this paper introduces the corrosion mechanism, which is chemical corrosion and electrochemical corrosion respectively. Then, three common grounding grid corrosion detection methods, such as electric network analysis method, electromagnetic field detection method and electrochemical method, are introduced. On this basis, the advantages and disadvantages of three methods are compared. Further prospects for the corrosion detection technology of the grounding grid are pointed out.
Simulation Study on Pole-to-Pole Short Circuit Faults of the Hybrid Multi-terminal DC Transmission System
Authors: Zheng Mengyuan , Kang Xiaoning , Liu Le , Li Xiaoyu 
Published: July 2019

Abstract
The hybrid multi-terminal direct current (MTDC) system, with the economic superiority of LCCs and technical flexibility of VSCs, is one of the development directions of future DC transmission technology. This paper introduces the development of Hybrid-MTDC transmission projects as well as the related publications especially on fault control strategies. A ring hybrid three-terminal DC transmission system was built on PSCAD/EMTDC to simulate pole-to-pole short-circuit faults at different locations. The fault development process and fault characteristics on DC lines are analysed and summarized, which aims at providing the theoretical basis for the protection principles of hybrid MTDC systems.
Maintenance Scheduling of Power Equipment Considering Opportunistic Maintenance Strategy
Authors: Xu Bo , Zhang Yumin , Sun Kongming 
Published: July 2019

Abstract
This paper investigates the impact of opportunistic maintenance strategy on power equipment maintenance scheduling under economic dependence. The model focuses on power equipment with two types of failures: random failure and deterioration failure. Unlike previous research which didn’t consider opportunistic maintenance between different failures modes, opportunistic maintenance strategy is proposed in this paper. In the opportunistic maintenance strategy, whenever random failure occurs, decision has to be made on whether deterioration failure is preventively maintained based on the degree of equipment deterioration and economic dependence. Firstly, Markov process is used to describe equipment state-space diagram. And then, in order to determine the optimal inspection rate, preventive maintenance threshold and opportunistic maintenance threshold of power equipment, the analytical expressions of inspection cost, maintenance cost, repair cost and outage cost are quantified. Finally, the total cost is minimized to get the optimal maintenance strategy. Case studies demonstrate the feasibility of the proposed model.
A New Location Method of Faulty Segment for Hybrid Transmission Lines Based on Transient Travelling Wave Analysis
Authors: Tang Xu-ming , Guo Ning-ming , Xia Wei , Liu Tie , Zhao Cai-ping 
Published: July 2019

Abstract
The paper proposes a new location method of faulty segment for hybrid transmission lines combined with overhead line and cable. Conventional location method of faulty segment identify faulty segment through position calculation of fault point. However, affected by error, the fault at cable-overhead line joint is hard to be identified. In this approach, faulty segment is identified through characteristics comparison of transient travelling wave under different condition. Compared with situation that fault occurs on overhead line, if fault occurs in cable, there is an additional impedance discontinuity in cable. Thus, the amplitude and wave of various reflected wave will change significantly. The proposed method extracts various reflected waves based on time windows and polarity. It makes use of the relative amplitude and time difference between first travelling wave and secondary reflected wave of cable-overhead line joint as criterion of faulty segment location. To verify its effectiveness, fault simulations based on EMTDC are performed; the simulation results reveal that the proposed method can correctly identify the faulty segment for hybrid transmission lines.
High Voltage Circuit Breaker Fault Diagnosis Based on Reasoning chain and Bayes
Authors: Sun Mengxuan , Chen Qing , Huang Wudi , Zhang Xiaotong , Gao Wangyuan 
Published: July 2019

Abstract
In order to find the reason of the high voltage circuit breaker rejection quickly, an fault diagnosis method based on reasoning chain and Bayesian network (BN) is presented in the paper. Firstly, the concept of event set is introduced. A fault symptom set is constructed based on the measured circuit breaker characteristic parameters and warning signals. And the direct cause of circuit breaker failure, such as a part of the circuit breaker components or mechanism failure constitute the fault cause set. After that, when the high voltage circuit breaker fails, a subset of fault symptoms and fault causes is obtained according to the information. Then an reasoning chain is constructed according to the causal relationship between the two. Finally, a corresponding Bayesian network model for reasoning chain is built. The probability of fault causes is obtained by Bayesian backward reasoning, so as to realize the rapid analysis of circuit breaker faults. And the effectiveness of the method is verified by the result of practical fault diagnosis examples.
Novel Switched Reluctance Machines for Domestic Appliances
Authors: Lei Y K , Tang Q , Li T , Wang Y L , Xu W T , Deng Y Y 
Published: July 2019

Abstract
Switched reluctance motors (SRM) are the core components of household appliances, which directly affect the performance and quality of household appliances. We have studied the application of switched reluctance motors in the home appliance industry. The 12/8-pole three-phase switched reluctance motor with a new rotor structure was proposed for the performance of SRM and the performance is simulated by MATLAB tools. Besides, the control principle and the operating equations of the switched reluctance motor are also introduced and deduced in detail. For the further work, although the 12/8 pole switched reluctance motor can effectively reduce the torque ripple, it cannot be completely eliminated. Therefore, the next step should continue to explore ways to reduce torque ripple.
Operation Situation Assessment of Intelligent Distribution Station Based on Internet of Things
Authors: Hui Zhao 
Published: July 2019

Abstract
In order to solve the problem of online monitoring and early warning evaluation of intelligent distribution station, an operation situation assessment of intelligent distribution station based on internet of things is proposed. A multi-source data information matrix is established for the distribution station, and describes the temperature information, humidity information, water intrusion information, smoke information, switch telemetry information, and switch remote control information of the intelligent distribution station within a period of time before the current time. The distribution station multi-source information matrix is quantitatively evaluated through the distribution station multi-source evaluation matrix. Then, the distribution station multi-source evaluation matrix is quantitatively integrated for each column to generate a distribution station multi-source single evaluation matrix. Finally, based on the weighted average method, the distribution station multi-source single evaluation matrix is integrated to generate the distribution station operation situation evaluation index to describe the overall operation situation assessment of intelligent distribution station. The feasibility of the proposed method is verified by the example analysis, which can meet the actual needs of the field project.
An Intelligent Operation and Maintenance System for Power Consumption Based on Deep Learning
Authors: Huang Zengrui , Mao Wei , Chen Ming , Wu Qiang , Xiong Boyue , Xu Wei 
Published: July 2019

Abstract
With the advent of the era of power big data, power companies can easily access more and more user power data, but they are not making full use of such massive datasets to reflect their value. Due to the huge amount of data collected by the power system, the total amount of abnormal data collected cannot be ignored. These abnormal data cause great interference to subsequent data analysis and maintenance; It’s also important to find how to identify user’s abnormal behaviour based on the power dataset. In this paper, a smart operation and maintenance system based on deep learning is proposed. Based on the composite mathematical statistics method, the data is efficiently reviewed and cleaned. The isolated forest algorithm is used to quickly identify the users with abnormal power consumption and GAN is used to help evaluate this model. This system can help power companies efficiently complete data review and anomaly identification, and can integrate data information from multiple dimensions to guide the actual maintenance and verification.
Research on Power Trading Platform Based on Big Data and Artificial Intelligence Technology
Authors: Yuan Mingzhu , Fang Yin , Lv Jingwei , Zheng Shiqiang , Zhou Zhiyi 
Published: July 2019

Abstract
We achieve an integration of the power trading business with new technologies by rationalizing the convergence path of new technologies and transaction services. To realize the personalized customization of electricity market information services and form automated and flexible expansion capabilities, we build a new architecture of cloud-based power trading platform which establishes and applies power market big data resources, improving platform capacity and business application level. The architecture built in the article achieves the decentralization, real-time processing, high concurrency, high availability, easy maintenance, and convenience and efficiency of the power trading platform.
Research on Neural Network MPPT Algorithm Based on DE and Dichotomy
Authors: Li Xiaojiao , Qi Xuanxuan 
Published: July 2019

Abstract
Aiming at the shortcomings of traditional MPPT method, such as slow tracking speed and oscillation at maximum power point, this paper combines neural network with dichotomy to propose a new maximum power point tracking method for photovoltaic power generation system. And the traditional neural network uses the gradient descent method to solve the problem that the parameters are easy to enter the local optimal solution. In this paper, the improved differential evolution method is used to solve the global optimal solution. The neural network is used to track the vicinity of the maximum power point, and then the dichotomy is used to further approach the maximum power point. The simulation results show that compared with the traditional MPPT method, BP neural network and dichotomy can track the maximum power point faster, avoid the oscillation phenomenon, and have faster tracking speed and higher tracking accuracy.
Research on Simulation Training System of Immersive Substation Based on Virtual Reality
Authors: Liao Xiaohui , Wang Hao , Niu Jinliang , Xiao Jingbo , Liu Chuan 
Published: July 2019

Abstract
Virtual reality technology has been widely used by constructing a virtual space to simulate and restore the real world. The system uses 3ds MAX and Unity3D software to establish a 500kV substation virtual simulation system. The system completely establishes the 3D models of primary and secondary equipment of 500kV substations, and truly restores the overall layout of the substations. At the same time, the Unity3D engine, VR technology and interactive equipment are used at the same time to make this system able to provide trainees with an immersive training experience, which is more realistic than the application over the same period. The system completes the realization of substation training, station roaming and fault simulation functions, including substation equipment technical parameter display and synchronous voice introduction, interface design, basic operation, and fault phenomenon simulation; the infrastructure of the system is developed well and has strong expandability, which lays a foundation for subsequent function development. This system satisfies the substation training needs and can be used for related staff training of substations and to help students in electrical major to gain cognitive learning.
Model and Simulation of Micro Grid Based on Micro Gas Turbine
Authors: Wang J H , Li Z , Zheng T 
Published: July 2019

Abstract
Site Microturbine Generation (MTG) is a distributed Generation technology with wide application prospect in micro grid. This paper introduces the single-axis micro-gas turbine power generation system in detail and studies its operation and control in micro-grid. In this paper, PSCAD/EMTDC simulation software is used to simulate the load tracking ability of the micro-turbine power generation system under the island operation mode, and the ability of the micro-turbine power generation system to stabilize the voltage and frequency under the two modes of island and grid connection. The simulation results verify the correctness of the micro gas turbine model and its flexible adjustment control mode according to the needs of micro grid operation, which has good operation characteristics.
Optimal Control Technology of Electric Power Load Distribution of Submarine Cable Salvage Robot
Authors: Yubing Duan , Xiaoli Hu , Chao Gu , Xiaobin Sun , Jinxia Yao , Bo Yang , Hao Zhang 
Published: July 2019

Abstract
The submarine cable salvage robot needs energy storage device as power supply or backup power supply when working underwater. The optimal control strategy of load distribution can realize the reasonable distribution of electric load among multiple energy storage devices according to the different residual capacity of energy storage devices, thus improving the energy utilization efficiency of energy storage devices and prolonging the operation time of salvage robots.
Construction of the Indicator System Applied to Evaluate Basic Capabilities of Smart Meter Enterprises on NQI
Authors: jingxing Liao , Lei Feng , Juxiu Huang 
Published: July 2019

Abstract
In order to quantitatively evaluate the basic capabilities of smart meter enterprises on National Quality Infrastructure (NQI) and continuously improve the quality level of smart meter enterprises, this paper, profited from China’s NQI capability index system and the Delphi method, with representiveness of indicators as the starting point, and based on repeated screening and expert demonstration, chooses the most representative indicators devised for NQI factors such as measurement, standardization, certification & accreditation, inspection & testing and quality management in the production of smart meters, and constructs an indicator system applied to evaluate the basic capabilities of smart meter enterprises on NQI, which includes 5 first-level indicators, 8 second-level indicators and 30 basic indicators. With construction of this system, we can quantitatively evaluate the basic quality and technology capabilities of smart meter manufacturers and continuously improve deficiencies of enterprises on their NQI. And, the State Grid can also apply this system as a technical specification to evaluate the quality level of smart meter enterprises.
Research on Electromagnetic Radiation Model of Corona Discharge with UHV AC Transmission Lines
Authors: Li Chaoqun , Xu Song , Xia Zhuqing , Yang Xin , Wu Xixiu 
Published: July 2019

Abstract
The corona discharge pulse current has double exponential distribution characteristics. On this basis, the electromagnetic radiation model of corona discharge is established by using the theory of electric dipole. The corona discharge characteristics are analysed and compared with the measured results of 1000kV UHV ac transmission line. The results show that the electromagnetic field strength increases first and then decreases with time, and at the same time, the electromagnetic field strength decreases exponentially with distance. The simulated and predicted corona discharge radiation characteristics have the same variation law as the measured data, which verifies the correctness of the model.
FEM Analysis of Iron Core Losses in Magnetically Controlled Shunt Reactor with Distributed Magnetic Valves
Authors: Tong Li , Hu Caifei , Li Xiaohui , Fan Xueliang , He Liqun 
Published: July 2019

Abstract
In this paper, the MCR with distributed magnetic valves is proposed. The magnetic valve is equally distributed in iron core, which is piled up by silicon-steel sheets and epoxy sheets. Field-circuit coupled simulation model is established in ANSYS software. The wave forms of electrical state variables, magnetic flux density distribution and iron core losses are acquired. The comparison with the MCRs with a single-stage magnetic valves and multiple-stage magnetic valves demonstrates the advantage of proposed magnetic valve structure.
A Design of Interior Permanent Magnet Synchronous Motor for Electric Vehicles
Authors: Zhang Jinlong , Yin Dejun 
Published: July 2019

Abstract
Fractional slot concentrated winding interior permanent magnet synchronous motor (PMSM) has the advantages of high torque density, high efficiency and simple manufacture, which has been widely used in electric vehicles. In this paper, a fractional slot concentrated winding interior permanent magnet synchronous motor (PMSM) with “▽” shape rotor is proposed. This paper focuses on how to reduce the torque ripple of the motor. The permanent magnet angle and eccentric length are optimized to maximize the fundamental air-gap flux density and minimize its torque ripple. The cogging torque, torque ripple, iron loss and efficiency of the motor are analyzed. Finally, the finite element results verify the effectiveness of the optimization.
Research on Current Transfer Characteristics of Hybrid Circuit Breaker in Low Voltage DC Micro-grid
Authors: Guanying Zhang , Fei Gao 
Published: July 2019

Abstract
The analysis of current transfer characteristics of hybrid DC circuit breakers is of great significance for improving their breaking capacity and implementing control strategies. This paper analyzes the principle of hybrid DC circuit breakers. The hybrid circuit breaker simulation model is built based on the Mayr arc model in Matlab/Simulink using IGBT, RCD snubber circuit and arrester model. The current simulation waveforms under different external circuit parameters and transfer branch parameters with a voltage of 400V and breaking fault current less than 200A are mainly studied. Through the analysis of the current transfer characteristics, a series of theoretically supported breaking characteristics are obtained, which provide a reasonable and effective reference for the fast and reliable breaking of DC micro-grid hybrid circuit breaker.