bluuebunny/crossref_metadata_2025 huggingface dataset:
The development of electronic teaching materials on linear impulse and linear momentum to improve students’ scientific literacy
Authors: Hidayat R , Salam M A , Dewantara D
Published: December 2021

Students’ low scientific literacy competence and the unavailability of electronic teaching materials that match scientific literacy indicators that can be used in online learning encourage researchers to develop electronic teaching materials to improve students’ scientific literacy. This research aims to produce and describe the appropriateness of electronic teaching materials used in the learning process to enhance scientific literacy. The electronic teaching materials developed are based on scientific literacy indicators, namely explaining scientific phenomena, interpreting data and providing scientific evidence, designing and evaluating scientific investigations. The type of research used is research and development of the ADDIE model. The appropriateness of electronic teaching materials in terms of validity, practicality, and effectiveness. Research data was obtained from validation sheets given to three validators, student response questionnaires and learning outcomes tests. The data were analyzed by validity test, practicality test, and effectiveness test using N-gain score. The results showed that: 1) the validity of teaching materials obtained a score of 3.52 in the very high category, 2) the practicality of electronic teaching materials based on student response questionnaires obtained a percentage of 80.81% in the practical category, 3) the effectiveness of electronic teaching materials obtained a score of 0.44 in the medium category and the students’ scientific literacy ability 44.11% in the medium category. Based on the results of the study, impulse and linear momentum electronic teaching materials have been produced to improve students’ scientific literacy that is appropriate for use in the learning process. This research has implications, namely increasing students’ scientific literacy, especially on impulse and linear momentum material.
Publications related to virtual laboratories during the covid 19 pandemic: A bibliometric review and analysis
Authors: Saparini S , Andriani N , Misbah M
Published: December 2021

During the COVID-19 pandemic, virtual laboratories are instrumental in learning physics concepts. A virtual laboratory is one media that can be used as a solution to carry out concept discovery activities through simulation using computer software. This article was created to explain the trend of publications related to virtual laboratories during the COVID-19 pandemic for 2020-2021 through bibliometric analysis of the literature. The papers analyzed were obtained using the Publish or Perish (PoP) software on the Google Scholar database. The following publication trend expresses in the form of graphic visualization, which is analyzed using VOSviewer software. Overall, articles with the keyword virtual laboratory published in the late 2020-2021 period focus on its relationship with Covid 19 and evaluation. This focus of research shows that during the past year, the focus of research is how to evaluate learning through virtual laboratories.
The development of electronic modules with science literature through direct instruction of impulse and momentum materials
Authors: Arifuddin M , Hidayah N P , Mahtari S
Published: December 2021

This research aims to produce an electronic module with scientific literacy through direct instruction on impulse and momentum materials and describe its feasibility. The specific objective of this study is to describe the validity, practicality and effectiveness of the electronic module. The research method used is research and development using the ADDIE model (Analyze, Design, Develop, Implement, Evaluate). The test subjects in this study were ten students at one of the senior high schools in Banjarmasin. The data were obtained through the electronic module validity sheet instrument, student response questionnaire sheets, and student learning outcomes tests. The results show that: (1) the electronic module is declared valid with a very high category, (2) the electronic module is declared practical in the good category, (3) the electronic module is declared effective with a gain score of 0.64 in the moderate category. In this study, it can be concluded that the electronic module with scientific literacy through direct instruction on impulse and momentum material is declared fit for use in learning.
Visual learning style-based chemistry mental model representation through transformative online learning
Authors: Winarti A , Almubarak A , Saadi P
Published: December 2021

Analysis of learning styles is one of the main things teachers need to do before carrying out teaching. The study of learning styles can provide an overview of how a teacher designs a learning concept by students’ learning styles. The learning process will show students’ mental models with their respective learning styles so that these mental models become the primary material for how teachers develop students’ cognitive. This research aimed to describe students’ mental models in terms of students’ visual learning styles. The method used is descriptive with qualitative and quantitative approaches with transformative-based learning concepts. The research results show that chemistry education students for chemistry learning innovation courses only have visual learning styles of 71.43% and audio by 28.55% and do not have kinaesthetic learning styles. This research focuses on visual learning styles to see students’ mental models. The conclusion is that students still need cognitive strengthening, especially the ability to interpret phenomena at the sub microscopic level. With the visual learning style, students are expected to transform their cognitive so that they have mental structures and models relevant in theory and terminology.
The practicality of natural science learning devices on the concept of environmental pollution with problem-solving learning models
Authors: Fahmi  , Fajeriadi H , Irhasyuarna Y , Suryajaya  , Abdullah
Published: December 2021

Less varied learning methods make learning activities boring. Emphasis on mastery of concepts and teacher dominance make students’ activities passive. The correct methods are needed to achieve the learning objectives. This study aims to evaluate the practicality of natural science learning devices for junior high school on the concept of environmental pollution using a problem-solving learning model. The research method uses Design Development Research by Tessmer. The data was taken at the small group evaluation and field test. Data were collected through observation of teacher and student activities with a scale of 1-4; self-assessment with a score of 1 (positive) and 0 (negative); and student response questionnaires on a scale of 1-5. The data were categorized and analysed descriptively. The results of the small group evaluation are: teacher activities get a good category; student activities with good categories in the preliminary and closing activities, but main activities are still quite good; self-assessment aspects show eight positive and two negatives, and student responses show nine positive and one negative. The field test results are: teacher and student activities get a “very good” category; self-assessment aspects show eight positive and two negative, and student responses are positive for all aspects.
Development of e-modules coloid materials based on PjBL-STEM to improve scientific literature and student learning outcomes of wetlands context
Authors: Rusmansyah  , Anjaini N , Kusasi M
Published: December 2021

Development research has been carried out that aims to produce an e-module, a valid, practical, and effective STEAM-PJBL approach on colloidal material. This type of research is Research and Development (R&D) with a 4D development model modified into 3D (define, design, development). The e-module trial was carried out in the School Chemistry 2 class, which consisted of 22 students. Data collection techniques used validation sheets, readability questionnaires, response questionnaires, observation sheets, scientific literacy tests, and learning outcomes tests. Data analysis used descriptive analysis. The study results indicate that the developed e-module has met the following criteria: (1) Validity, judging from the value of the module feasibility aspects, has very valid criteria. (2) Practicality, seen from the readability results of e-modules on individual and small group tests obtaining practical and very practical criteria, student responses to e-modules obtained very practical criteria, as well as observations of lecturers’ ability to use e-modules and manage their respective classes. -each obtained very practical criteria. (3) Effectiveness, seen from the results of the N-gain scientific literacy and knowledge learning outcomes, each of which shows an increase in height and the criteria for learning outcomes of attitudes and skills to obtain good and very skilled criteria.
Preface of the 4th International Conference on Electrical, Electronics, Informatics, and Vocational Education (ICE-ELINVO) 2021
Authors: Hariyanto D
Published: December 2021

ICE-ELINVO 2021 is the fourth international conference on Electrical, Electronics, Informatics, and Vocational Education organized by the Department of Electrical Engineering Education in cooperation with the Department of Electronics and Informatics Education, Faculty of Engineering, Universitas Negeri Yogyakarta. The 4th ICE-ELINVO 2021 was held virtually on October 5th, 2021 due to the Covid-10 pandemic and some of its restrictions issues. The main purpose of this conference is to bring together the professional practices, industrial experts, researchers, vocational teachers, academia, and decision-makers including the government to a unified communication forum for sharing their recent research and developmental activities in Electrical, Electronics, Informatics, Mechatronics, and Vocational Education.

This year’s conference theme is the “INNOVATION ON RESEARCH IN ELECTRICAL, ELECTRONICS, INFORMATICS, MECHATRONICS, AND VOCATIONAL EDUCATION IN SUPPORTING SUSTAINABLE SOCIETIES”. In the new normal era, developments and innovations in technology are more advanced with a variety of sophistication that can facilitate almost all of our work. Industry 4.0 technologies such as mobile internet, automation of knowledge work, the internet of things, cloud technology, advanced robotics, artificial intelligence, embedded systems, and autonomous vehicles, provide new opportunities for humans to support intelligent societies. This conference is initiated to contribute cutting-edge ideas to technology growth.
Design Smart Grid Hybrid in Faculty of Engineering Universitas Negeri Yogyakarta
Authors: Ali Muhamad , Djoko Laras BT , Muhfizaturrahmah  , Deny PS
Published: December 2021

The Faculty of Engineering, Universitas Negeri Yogyakarta (UNY), as one of the educational institutions in Engineering, still uses electrical energy from PT PLN, mainly generated from steam and gas power plants. Dependence on fossil energy can be reduced by utilizing renewable power plants, both solar and wind. For this reason, it is necessary to study the use of a Smart Grid system that can regulate electricity needs by optimizing renewable power plants. The Smart Grid components consist of solar power plants, wind power plants, batteries, inverters, and grid power sources from PLN integrated into the Smart grid system. We have designed the Smart Grid system through field observations and data processing with the HOMER Pro software to obtain an optimal hybrid power generation system and wind turbine. The study results indicate that the Faculty of Engineering, UNY has excellent potential to develop smart grids. The potential for solar energy is 418.393 kWh/year, and wind energy is 2.78 kWh/year. The Smart grid system is sufficient to meet the electricity consumption of only 205.5 kWh/year.
LQR state feedback controller with precompensator for magnetic levitation system
Authors: Winursito A , Pratama G N P
Published: December 2021

Magnetic levitation system (MLS) is a nonlinear system that attracts the attention of many researchers, especially control engineers. It has wide range of application such as robotics, high-speed transportation, and many more. Unfortunately, it is not a simple task to control it. Here, we utilize state feedback controller with Linear-Quadratic Regulator (LQR) to regulate the position of a steel-ball in MLS. In addition, we also introduce the precompensator to nullify the steady-state errors. The linearized model, controller, and precompensator are simulated using Matlab. The results and simulation verify that the state feedback controller and precompensator succeed to stabilize the position of steel-ball at the equilibrium for 0.1766 seconds and no steady-state errors.
Oxygen Availability Control and Monitoring System in Hospitals using IoT
Authors: Nugraha Nikko Aji Bayu , Mashoedah
Published: December 2021

Medical Gas is an important component in the treatment of patients with COVID-19 disease. Medical gas is used to help COVID-19 patients to reduce the effects of respiratory disorders by providing oxygen ventilators to patients. With the surge in typical COVID-19 sufferers as of July 2021, the need for Oxygen in hospitals is getting higher. This is when the control and monitoring of medical gases in hospitals are late because the integrated system is very dangerous. Therefore, a system that can be used to control and monitor medical gases in hospitals that are integrated and automated and can be monitored by the Government and Medical Gas Producers. This is useful for anticipating the lack of availability of Medical Gas in hospitals. In this study, the system used IoT systems as a base in delivery and control. This system uses Arduino as a minimum system that reads the press sensor on the Medical Gas tube and regulates the valve. The data obtained is then sent to the Local Server to be processed and delivered to the Hospital Officer. Local Servers also send the data to cloud servers to be monitored by the government funds of several medical gas producers. This design can help in the process of controlling and monitoring Medical Gases in hospitals in hopes of minimizing the risk of delays in supplying medical gases to hospitals.
Analysis of the Impact of Distance and Temperature in Determining Transfer Power Using Laser Applications
Authors: Rahardjo I A , Muslim S , Wadjdi F , Rifan M , Sunawar A , Subekti M , Sakirah
Published: December 2021

This article aimed to analyze the impact of distance and temperature in determining transfer power using laser applications. This study used instruments consisting of a power meter, photovoltaic, laser, and DC power supply. This research was using experimental method. The impact of distance and temperature in determining transfer power using laser applications was concluded based on the results of calculation analysis, measurements of photovoltaic output power, distance, temperature, and laser input power. The impact of distance and temperature in determining transfer power using laser applications showed that the probability value or p-value was lower than the error/alpha level (a) (2.207E-18 <0.05). Likewise, the calculated F value is greater than the significance F (15290048>4.68386E-27). With the applicable provisions in testing the hypothesis, that the conclusion in this article rejected the null hypothesis (H0 : The distance and temperature have not an impact in determining transfer power using laser applications), and accepted the alternative hypothesis (H1:The distance and temperature have an impact in determining transfer power using laser applications).
Design and Development of Water Distribution Monitoring System in Regional Drinking Water Companies (PDAM) Based On Internet Of Things
Authors: Efrizon  , Irmansyah M. , Madona Era , Anggara N , Yultrisna
Published: December 2021

The purpose of this study is to create a prepaid PDAM clean water distribution system using a microcontroller based on the Internet of Things (IoT). The hardware used to realize the system consists of ultrasonic sensors, water flow sensors, relays, LCD buzzers and Arduino. ESP 8266 01 for delivery to the Thingspeak app. From the test results obtained HC-SR04 ultrasonic sensor reading error occurs when the water level is low and too high, the maximum measurable water level is 95%. When calculating the comparison between the water discharge that is read by the sensor and that measured by the measuring cup, the results are always not the same. The error when testing the water flow sensor at the water level is less than 49% this is influenced by the speed of the water fired by the pump, where the pump will be under low pressure when the water level is below that value. The system can monitor data readings from the water flow sensor using the ESP8266 monitored on the thinkspeak web server using a smartphone. Overall the tool can function well.
Developing an engaging whiteboard animation video for vitamins
Authors: Purwaningsih S , Anggraeni A A
Published: December 2021

Whiteboard animation videos are engaging learning media for Generation Z. This study aimed to develop and assess the feasibility of a whiteboard animation video for vitamin in the Nutrition Science subject for class X culinary vocational school. This study was research and development using a 4D approach (define, design, develop, disseminate). The define stage analyzed the curriculum, material, student character, learning media, and school facilities. The design stage included the writing and assessing the material, the writing and assessing of storyboards, and production team selection. The develop stage was making a video and assessing the feasibility. Animation images were created using Paint Tool Sai. Image conversion from JPEG to SVG was performed with Inkscape. The dubber’s voice was recorded with Universal Audio using the Apollo Twin audio interface and Avantone CV12 microphone. The audio was edited in Pro Tools 2020.9. To produce a whiteboard animation video, animation images, captions, dubber’s voice, and back sound were combined with VideoScribe. Videos used mpg format. In order to maintain video duration below 10 minutes, the video was divided into two parts. The assessment of video feasibility was carried out by one media expert and two content experts. The assessment of feasibility at the disseminate stage was carried out to 30 users. Based on the feasibility assessment, this video was very suitable to be applied as a learning medium.
Microcontroller Based Portable Incubator Monitoring Tool with Short Message Service (SMS) notifications
Authors: Irmansyah Muhammad , Efrizon  , Nasution Anggara , Madona Era
Published: December 2021

The aim of this research was applied a microcontroller, temperature sensor, weight sensor, heart rate sensor and GSM module to monitoring and notification of the condition of premature babies in portable incubators. The hardware used consists of a DS18B20 sensor, Load Cell, Pulse Heart Rate Sensor, Buzzer, LCD and SIM800L Module. The results showed the Pulse sensor and DS18B20 sensor could measure and detect the baby’s heart rate and baby temperature. The result was on the LCD with an average error of 4.354% for heartrate and 1.437% for temperature. The loadcell sensor can detect weight with an error of 2.16%. The duration of sending SMS to Smartphone is 8s for each delivery. SMS was sent if the baby weak and critical condition.
Development of Training Kit Basic Aerial Robotics Using RC Plane Robot for Robotics Course
Authors: Aziz F N , Mashoedah
Published: December 2021

RC Plane Robot and basic aerial robotics are technologies that are widely used, so training kits are needed to learn them. This study aims to: (1) Design and build, (2) Test performance and (3) Determine the feasibility level of training kit basic aerial robotics using RC plane robot. The study used the Research and Development method with the following procedures: (1) Potential and problem, (2) Data collection, (3) Design, (4) Validation, (5) Revision and (6) Trial. The object of the research is the RC Plane Robot training kit and the practicum jobsheet. The research subjects were students of the Electronic Engineering Education Study Program, Faculty of Engineering, Universitas Negeri Yogyakarta. The results of the research are in the form of hardware and practicum jobsheets. The hardware part consists of a robot plane, a work area (Box) and a remote control. The level of feasibility of training kits by material experts gets a percentage of 91%. By media experts get a percentage of 89.5%. By respondents (students) get a percentage of 86%. Based on these results, the training kit basic aerial robotics using RC plane robot is very feasible to be applied to the Robotics course.
Utilization Extract, Transform, Load For Developing Data Warehouse In Education Using Pentaho Data Integration
Authors: Barahama A D , Wardani R
Published: December 2021

The utilization of data warehouses in various fields is an absolute necessity. A data warehouse is a database that contains large amounts of data that aims to help organizations, fields, and institutions specifically for decision making. Data warehouses can produce important information in the future. Loading data from various sources and processed through an ETL (Extract, Transform, Load) process that displays data consistently is the basis for creating a data warehouse architecture. The development of a data warehouse in education will provide significant benefits for the progress of education. Integration of data and processing results stored in the data warehouse can be the basis for evaluating better planning. Development of data warehouse adopt the multidimensional modelling method which consists of four stages: select the business process, declare the grain, select dimensions, and identify facts. This stage produces a data warehouse architecture and influences and contributes to the advanced information technology in education.
Development of IoT-Based Smart Home Electrical Protection System
Authors: Renaldo R.Y. , Supriyadi Edy
Published: December 2021

This study aims to: (1) develop a smart home electrical protection system, (2) determine the feasibility, and (3) user responses to the developed system. Development research was conducted using the ADDIE and Waterfall models. Product trials were conducted on 94 respondents from college students. Data collection techniques using a questionnaire. Data were analyzed using descriptive techniques. The results showed that: (1) there was an IoT-based electrical protection system that was feasible to be applied in smart homes. (2) the feasibility of the developed media is included in the “Very Appropriate” category according to the expert, and (3) user responses to the IoT-based electrical protection system are in the “Very Good” category.
Electric Machines Virtual Laboratory: Testing of DC Motor
Authors: Badarudin R , Hariyanto D , Ali M , Meunmany S
Published: December 2021

This article describes the realization of testing the characteristics of a DC motor on Simulink as a virtual laboratory. Testing of DC motors based on real conditions in a physical laboratory by combining two DC machines coupled to shafts including DC motors and DC generators. The types of DC motors tested include separately excited DC motors, shunt DC motors, and series DC motors. The implementation of the Simulink model adopts the wiring diagram in the real test. The test procedure is also adopted on the real test procedure. The data from the test results are made in DC motor characteristics graph. Virtual laboratory using Simulink can be used to realize DC motor testing, including test procedures, running no-load DC motors, increasing the load of DC motors with infinitely simulation features on Simulink. The results of the study show the characteristics of the experimental data for all types of DC motors tested according to the theory.
The Effects of Rain Intensity and Water Elevation with Energy Productivity of Kracak Hydro Power Plant, Bogor Regency – West Java
Authors: Rahardjo I A , Suyitno  , Subekti M , Gunawan W , Wijayanto R P , Mahir I , Sakirah
Published: December 2021

This paper was aimed to know the effects of rain intensity and water elevation with energy productivity of Kracak Hydro Power Plant, Bogor Regency – West Java. The method used multiple regression analysis with a quantitative approach to describe the effects of rain intensity and water elevation with energy productivity of Kracak Hydro Power Plant. Based on the data, the highest rain intensity was in February of 13,35 mm with water elevation of 346,09 cm and produced electrical energy of 198.296 kWh. The lowest rain intensity was in July of 0,86 mm with water elevation of 194,02 cm and produced electrical energy of 49.772 kWh. The average rain intensity was 8,9 mm with water elevation of 324,12 cm and produced electrical energy of 156.010 kWh. The results of testing the effect of rain intensity with energy productivity at the Kracak hydropower plant resulted in a significance value of 0.002 (p <0.05) and a t value of 4.306. This value indicates that the significance value is below 0.05 and has a positive coefficient direction. It means that rain intensity has a significant positive effect with energy productivity at the Kracak hydropower plant. And the results of testing the effect of water elevation with energy productivity at the Kracak hydropower plant resulted in a significance value of 0.003 (p <0.05) and a t value of 3.864. This value indicates that the significance value is below 0.05 and has a positive coefficient direction. It means that water elevation has a significant positive effect with energy productivity at the Kracak hydropower plant. The conclusion on this research is the rain intensity and water elevation have effects with energy productivity of Kracak Hydro Power Plant.
Smart Air Filter Based on Activated Charcoal and Aloe Vera Using Fuzzy Logic Algorithm
Authors: Arifin F , Gusti W R , Nasuha A , Priambodo A S , Winursito A
Published: December 2021

Smoking is one of the main risk factors of several chronic diseases such as lung cancer, upper respiratory tract cancer, heart disease, stroke, bronchitis, emphysema and others, even smoking can cause death. Cigarette smoke inhaled by passive smoking is the main cause of lung cancer in people who are not smokers. The risk of lung cancer increases by 20-30% in non-smokers but always surrounded by cigarette smoke, compared to non-smokers who are not exposed to smoke. This study aims to develop a smart device to filter cigarette smoke so that the air released from this device is free from the dangers of cigarette smoke. The materials used in this device as a cigarette smoke filter are activated charcoal and aloe vera, the pores of the charcoal open and can become adsorbents. This device uses fuzzy logic as a control method that can provide decisions that resemble human decisions. Arduino is used to adjust the fan rotation in absorb cigarette smoke and the LCD to display the level of cigarette smoke.
Utilization of Used Electric Vehicle Batteries for The Design of Mini-Generating Systems
Authors: Khairunnisa  , Arifidin Muhammad Afif Amalul , Hartoyo
Published: December 2021

One of the main objectives of this research is to reduce battery waste from electric vehicles, namely by processing the battery waste to be used as electrical energy storage which is then used in mini generators. Therefore, it is necessary to have methods and stages to do it all. The method used with BMS (Battery Management System) with the Battery Cell Balancing model. It aims to determine the classification of the total battery capacity and battery life time, and determine which batteries can still be reused. The results of the balancing of the battery cells will be used as recommendations and are more economical in power generation storage systems and also provide practical solutions in the management of used electric vehicle battery waste to prevent pollution of active ingredients in battery cells, and also become an alternative for energy storage choices. for reuse. This research can be considered in the future for the electric vehicle industry to be able to reuse used batteries from electric vehicles, as well as the design design of the use of used batteries for mini generation systems.
The Effect of Inclination Angle of The Solar Panel on The Resulting Output Voltage
Authors: Wardhana A S J , Damarwan E S , Hakim ML
Published: December 2021

Renewable energy is alternative energy for the future. One renewable energy that is easy to develop is solar power generation. In this study, we will discuss the effect of the tilt angle on the solar panel and the value of the intensity of sunlight on the resulting output voltage. The data collection process was carried out at the Mechanical and Electrical Power System Laboratory, Faculty of Engineering, Universitas Negeri Yogyakarta. The data collection stage was carried out at an angle of 0°, 30°, and 60°. The results showed that the smaller the value of the intensity of sunlight, the smaller the output voltage produced. The tilt angle of the solar panel at 30° has a maximum output voltage more significant than the angle of 60° and 0°.
Smart Infusion and Web Based Monitoring Infusion Fluids in Isolation Room Based on Fuzzy Logic
Authors: Yamin M , Habir S A , Nur Alam W O S , Surimi L
Published: December 2021

High-tech improvements with reference for health advance to develop numerous medical tools have been build to support doctors and nurses performances. This analysis research applied web-based system of infusion monitoring and microprosessor or microcontroller to grease performances of nursers and pharmaceutical helping in clinics or public health centers of the district. In this research, smart infusion web-based is builded for providing for the infusions by applying Node MCU and ESP 8266 Wi-Fi module. Smart Infusion aimed at helping nursers and medical helpers handling infusions of contagious complaint cases or Covid-19 cases to provide for infusion situation in isolation room or emergency room at hospital also public health centers at the district. Detecting the infusion weight, volume and percentage by applying a digital scale and the Load Cell sensors. This monitoring tools or devices is created to count the display from LCD and infusion weight the volumes and percentage of infusion with 3 colors alert display on the Website such as red color, yellow color, and green color depend on a web developed by php language, C programming with Arduino by C language embedded in microprocessor or microcontroller and based on fuzzy logic. Testing results have been achieved, monitoring device can work efficiently and completely when calculating weight, percentage, and volume. Scanning data of success accuracy of Load Cell sensors is 98,00%.
A Day-Ahead Scheduling Model of Electricity-Gas Integrated System with Power-to-Gas
Authors: Ruan Jiacheng , Cao Yongji
Published: December 2021

In recent years, with the increasing of gas-fired power plants and the development of power-to-gas (P2G) technology, and the interdependence between the power system and the natural gas system has gradually deepened. This paper proposes a day-ahead optimal scheduling model for an electricity-gas integrated system. Based on P2G, it can realize the two-way movement of energy between the power system and the natural gas system, promote the coordinated and optimized operation of the two energy systems, and improve energy utilization. The model proposed in this paper minimizes the total cost of both systems. Firstly, the power system sub-model and the natural gas system sub-model in the collaborative optimization model are studied separately, and the constraints between the two systems are considered. Then, the piecewise linearization method and DC power flow simplification method are adopted, the nonlinear problem is transformed into a mixed integer linear programming problem. Finally, the load forecast value of the day-ahead dispatch is loaded, and the 24-hour dispatch result is obtained through the simulation platform, and the P2G is used for joint dispatch.
An iterative identification algorithm and its convergence analysis of closed-loop power system based on ambient signals
Authors: Du Weijie , Yu Miao , Li Jinglin , Zhang Shouzhi , Hu Jingxuan
Published: December 2021

Identification and control are important problems of closed-loop power system. At present, most studies are separate identification methods. This paper studies an online and real-time integrated identification method, which can solve the problems of model set and controller design of closed-loop power system. This paper investigates a new iterative identification algorithm and its convergence problem of closed-loop power system based on ambient signals. Firstly, the whole algorithm procedure is given. This algorithm uses the iterative process under the closed-loop condition, which combines system model identification with controller design. Then the complementary of model identification and control design has been realized. Secondly, because of the dynamic performance of the iterative identification algorithm, it has characteristics described from the perspective of a partitioned dynamic system. Regard each iterative identification step as a state node. In this situation, the algorithm guarantees all the state nodes converge to the Lyapunov stable equilibrium. Finally, the simulation results show the correctness and effectiveness of the proposed method through the simulation of a power system with four-machine-two-region.
Wireless charging system load characteristic analysis and optimal load condition of of autonomous Underwater robot
Authors: Li Chong , Chen Bin , Wei Laifu , Yuan Hong , Liu Haibo
Published: December 2021

Autonomous underwater robots mainly obtains energy supplement through Wireless Power Transmission (WPT). Magnetic coupled resonant wireless charging is achieved through magnetic field coupling, with no direct connection on electricity, and can achieve intelligent control, autonomous charging, flexible and safe, frictionless wear. Based on the underwater robot wireless charging system, this paper proposes a high efficiency energy conversion technology for receiving end of wireless charging system. Though analysis of load change to effect the transfer characteristic of wireless charging system and wireless charging system optimal load conditions, this paper lays the foundation of the optimal load for subsequent research real-time tracking control, ensures the reliability of the charging system of underwater robot and improves the efficiency of wireless charging system.
Research on Classification of Daily Load Curve of Distribution Network Based on Improved SSA-FCM
Authors: Shi Haoran , Cao Rong , Hao Wenbo , Xu Mingyu , Hu Heng , Jiang Peng , Zhou Feng
Published: December 2021

In the analysis of three-phase unbalance in distribution network, the accuracy of daily load curve classification results determines the size of three-phase unbalance. Aiming at the shortcomings of Fuzzy C-Means (FCM), a fuzzy C-Means clustering algorithm (SSA-FCM) optimized based on Sparrow Search Algorithm (SSA) is proposed. The cluster validity evaluation index is introduced to get the optimal quantity of clusters, and the SSA is used to search for the initial cluster center, which solves the problem that the FCM algorithm relies on the initial value and is easy to converge to local optimal solution. The simulation results show that, compared with the FCM algorithm, the load curves classified into the same category by SSA-FCM are closer together.
Influencing Factor and Error Analysis of Operating Capacitor Voltage Transformer Harmonic Measurement
Authors: Zhang Yan , Wang Huajia , Yu Danwen , Yang Liu , Cao Wenjun , Yang Yongxin
Published: December 2021

With the increasing demands of power quality monitoring and management, the problem of harmonic measurement error caused by the widespread operation of capacitor voltage transformers (CVT) in high-voltage power grids has been unavoidable. This paper analyses the influence of environmental factors on harmonic measurement error of CVT, and proposes a new method for analysing the harmonic measurement errors of operating CVT, which explains the unstable phenomenon of CVT measurement errors based on field comparison test, and provides a progressing screening method of effective analysis data. the CVT harmonic error characteristic analysis method proposed in this paper considers the impact of field installation conditions, electromagnetic environment, and other actual operating environment, which can reflect the actual harmonic error characteristics of CVT in field operation. A CVT harmonic measurement system is established based on the proposed method. The validation and effectiveness of the proposed method is illustrated on a field measurements of 1000kV CVT in Shandong Province.
Analysis of power frequency electric field distortion caused by substation inspection robot
Authors: Gong Quanquan , Li Yunqi , Yang Zhongju , Dou Dandan , Yang Fan , Yang Hao
Published: December 2021

In the era of intellectualization, many substation inspection robots are being put into operation, but they will cause electric field distortion in the surrounding space during operation. This paper establishes a three-dimensional simplified simulation calculation model for 500kV substations and inspection robots. Based on the boundary element method, we simulate the power frequency electric field of the substation switchyard and analysis the distortion electric field when the inspection robot is in the station. The results show that when the electric field intensity is strong, the distortion coefficient caused by the robot will be larger, and the maximum can reach 2.25 times, and when the electric field intensity is small, the distortion coefficient will be smaller, and the distortion coefficient is 1.42 times on average.
X-ray Image Recognition Method for Crimping Defects of Strain Clamp Based on OpenCV
Authors: Li Pengwu , Liu Ronghai
Published: December 2021

The crimp quality of the tension clamp of the line affects the safety of the power grid. At present, the measurement of the quality of the tension clamp has certain limitations. An X-ray image detection method for strain clamp based on image processing technology is proposed. Firstly, the X-ray image of the strain clamp is taken and the image is preprocessed. Secondly, by selecting the defect part image of the typical defect sample, using some statements of OpenCV Python Library in Python to quickly identify and detect other X-ray pictures, and mark the defect part of other pictures. Finally, whether it is a defect is determined according to the cumulative value image of the gray value distribution of the marked defect area. Through the research in this paper, the rapid identification of the X-ray image of the crimping position of the tension clamp can be realized, which has important reference value for the engineering application of the crimping quality inspection of the tension clamp.
Research on main insulation defect of cable fusion joint based on IDIP-DR detection technology
Authors: Liu Sanwe , Huang Fuyong , Qiu Chao , Duan Xiaoli , Fang Chaowen , Duan Jianjia , Zeng Zeyu
Published: December 2021

The cable connector is the weak link of the electrical part of the cable. Most of the cable breakdown accidents occur at the connector, which will have a huge impact on the safe power supply of the city. In recent years, with the development and maturity of 10 kv cable fusion joint technology, high-voltage cable fusion joint technology is gradually applied in the field, but the key process problems in the production process lack of effective control means. In order to solve such problems, this paper use IDIP - DR digital radiographic testing technology. The key technology of high voltage cable melting joint detection, effectively detect the main insulation problems bubble construction technology. Through the anatomical, proved the accuracy of the test results, for the subsequent company to carry out the weld joint process control provides an effective means of. The causes of defects were analyzed and the corresponding process control suggestions were put forward.
Research on the Architecture and Key Technology of Data Two-way Interactive Distribution Automation System
Authors: Song Yinghua , Wang Gang
Published: December 2021

On the basis of analyzing and summarizing the current situation of the construction and use of distribution automation systems at home and abroad, according to the requirements of the use of distribution automation systems, a data two-way interactive distribution automation system architecture design is proposed. In response to the requirements for multi-source data collection in the distribution network, a distribution automation system architecture with partitioned collection and bidirectional data flow is proposed to improve the perception of distribution network equipment. Propose the self-recognition technology of power distribution system and terminal based on IEC61968 and IEC61850 model mapping to realize the fast access of power distribution terminal. Propose a grid integration modeling and global decision analysis method based on model splicing technology to realize multi-dimensional data fusion and analysis applications.
The Study on Void Fraction Prediction of Gas-liquid Two Phase Flow Based on Convolutional Neural Network
Authors: Kan Zhe , Liu Xinyang
Published: December 2021

For the gas-liquid two phase flow in the horizontal pipeline, at the center angle the void fraction of the different liquid phases is calculated with the finite element simulation software, and then a soft measurement model of the void fraction is established. By comparing with traditional recursive augmented least squares (RELS), particle swarm optimization (PSO), and simulated annealing-based PSO, the void fraction soft measurement model is identified and calculated separately. The segmentation optimization results of PSO based on simulated annealing have higher accuracy and stability than RELS and PSO, but as the number of center angles increases, the relative accuracy and stability of the system will deteriorate. And the characteristic is not conducive to the calculation and analysis of data results. By combining the actual model, the convolutional neural network weight update algorithm is added to the LSTM, and the RNN-LSTM convolutional neural network is used to predict the void fraction of the second half the region. It improves the effect of RNN gradient problem on learning ability and improves learning ability. Through comparison, it is found that the convolutional neural network based on RNN-LSTM has a better prediction effect, improves the accuracy and stability of the system, and provides a new method for the measured void fraction of twophase flow.
Analysis on the research method of road sense feedback in steer-by-wire system
Authors: Wei Chuanbin , Zhang Lizhu , Fu You , Xia Faying
Published: December 2021

Nowadays, the automobile industry is gradually developing towards the trend of electrification and intelligence. Compared with the traditional steering system, the steer-by-wire system cancels the mechanical transmission structure, reduces the space utilization, reduces the probability of damage to the driver caused by the steering system in the collision accident, and improves the driving portability and enhances the driver’s handling experience. The road feeling feedback of steer-by-wire system has the greatest impact on the driver’s driving experience. This paper discusses the research methods of road feeling feedback of steer-by-wire system, introduces the basic structure of road feeling feedback of steer-by-wire system, the basic idea of dynamic modeling, the establishment of simulation model of road feeling feedback, and the establishment method of control strategy and simulation platform of road feeling feedback. Finally, it summarizes and prospects in order to provide basic information and perspectives for the development and research of steer-by-wire system.
Study on dimensions of void in GRP rod of composite insulator
Authors: Dong Hongchuan , Jiang Shan , Tang Xuejun , Ke Fangchao , Zhang Sida , Liu Yunfan
Published: December 2021

As an important part of composite insulator, glass fiber reinforced polymer (GRP) rod needs to bear the main mechanical and keep certain insulation performance. The void in the material is key factor to the performance of GRP rod. The void with larger size could affect the electric field distribution significantly and lead to the “Lantern-like” heating. In this paper, the structure of void in GRP rod is studied by 3D X-ray microscope. It is found that the void dimensions in the GRP rod is generally less than 300μm, but the interconnection of linear hole makes the length of the void increase significantly. For the GRP rod with high porosity, the length of connection hole is hard to be detected directly by the existing technology, but it could be calculated based on the diameter of the hole. Based on the calculation method, the dimensions of void in GRP rod could be inspected by the observation of section using optical microscope.
The Research of GIS Discharge Influence Based on Particle Properties in Installation Environment
Authors: Lin Leicheng , Chen Dan
Published: December 2021

In order to explore the influence of atmospheric free particles that exit during GIS installation on the stable operation of GIS, the size, shape and inner properties of the particles contained in the air are analyzed. And based on 500kV GIS equipment, the GIS gas chamber model and the model of free particles were established. By using the finite element simulation software, the surface electric field distribution when the free particles remain on the insulator surface is solved. The results show that the electric field distribution of particles which exist along the surface of insulator is directly related to the relative permittivity of the material of the particles themselves, and the intensity of the electric field along the surface increases with the increase of the relative permittivity. with the fact that the relative permittivity of air particles is almost below 20, as a result, the existence of 10µm grade non-metallic free particles will not cause flashover discharge. But, when a small number of Fe3O4 particles which size over 1mm or when them accumulate regularly, it will lead to flashover discharge. Therefore, the suspended atmospheric particles in the installation environment have little impact on the stable operation of GIS. When considering the installation environmental conditions, the installation can be carried out on a clear, windless day which can save costs.
Research on fine tuning parameter insulator identification based on YOLOV4 algorithm
Authors: Wang Meng , Sun Yuan , Xia Feize
Published: December 2021

Aiming at the problem that the training network time of YOLOV4 algorithm is too long due to the large data set of aerial insulator images, a method based on YOLOV4 algorithm is proposed to shorten the training time by fine-tuning parameters without affecting the positioning detection accuracy. Based on the development of UBANTU virtual machine, through CUDA and CUDNN environment configuration, and through the detection and verification of insulator aerial photo data set, the feasibility of accurate positioning of insulators under the condition of fine tuning parameters of YOLOV4 algorithm is successfully proved.