{"title":"改善HRES并网DPFC系统电能质量的BWO策略","authors":"S. B","doi":"10.1080/23080477.2021.1920142","DOIUrl":null,"url":null,"abstract":"ABSTRACT Hybrid renewable energy sources (HRES) integrated with the grid connection is tremendously increasing its importance in the current scenario to meet the huge demand for electrical power. This integration is further decreasing the usage of fossil fuel and reducing the problems related to the environment. HRES such as the photovoltaic (PV) system, wind turbine (WT), and the battery energy storage system (BESS) in grid-connected systems are causing power quality (PQ). To overcome such issues in the HRES system, black widow optimization (BWO) with distributed power flow controller (DPFC) is proposed. DPFC is one among the various custom power devices, which are effectively used to mitigate the PQ issues, such as voltage/current sag, swell, and total harmonic distortions. Fractional order PID controller is designed to drive DPFC whose control parameters are generated with BWO technique. The analysis is compared with various techniques like PI, P&O, GSA, ASO, RFA, EVORFA, and BWO and obtained the best results. The test system is simulated in MATLAB/Simulink software. GRAPHICAL ABSTRACT","PeriodicalId":53436,"journal":{"name":"Smart Science","volume":"9 1","pages":"226 - 243"},"PeriodicalIF":2.4000,"publicationDate":"2021-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/23080477.2021.1920142","citationCount":"2","resultStr":"{\"title\":\"BWO Strategy for Power Quality Improvement in HRES Grid-Connected DPFC System\",\"authors\":\"S. B\",\"doi\":\"10.1080/23080477.2021.1920142\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT Hybrid renewable energy sources (HRES) integrated with the grid connection is tremendously increasing its importance in the current scenario to meet the huge demand for electrical power. This integration is further decreasing the usage of fossil fuel and reducing the problems related to the environment. HRES such as the photovoltaic (PV) system, wind turbine (WT), and the battery energy storage system (BESS) in grid-connected systems are causing power quality (PQ). To overcome such issues in the HRES system, black widow optimization (BWO) with distributed power flow controller (DPFC) is proposed. DPFC is one among the various custom power devices, which are effectively used to mitigate the PQ issues, such as voltage/current sag, swell, and total harmonic distortions. Fractional order PID controller is designed to drive DPFC whose control parameters are generated with BWO technique. The analysis is compared with various techniques like PI, P&O, GSA, ASO, RFA, EVORFA, and BWO and obtained the best results. The test system is simulated in MATLAB/Simulink software. GRAPHICAL ABSTRACT\",\"PeriodicalId\":53436,\"journal\":{\"name\":\"Smart Science\",\"volume\":\"9 1\",\"pages\":\"226 - 243\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2021-05-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1080/23080477.2021.1920142\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Smart Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/23080477.2021.1920142\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Smart Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/23080477.2021.1920142","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
BWO Strategy for Power Quality Improvement in HRES Grid-Connected DPFC System
ABSTRACT Hybrid renewable energy sources (HRES) integrated with the grid connection is tremendously increasing its importance in the current scenario to meet the huge demand for electrical power. This integration is further decreasing the usage of fossil fuel and reducing the problems related to the environment. HRES such as the photovoltaic (PV) system, wind turbine (WT), and the battery energy storage system (BESS) in grid-connected systems are causing power quality (PQ). To overcome such issues in the HRES system, black widow optimization (BWO) with distributed power flow controller (DPFC) is proposed. DPFC is one among the various custom power devices, which are effectively used to mitigate the PQ issues, such as voltage/current sag, swell, and total harmonic distortions. Fractional order PID controller is designed to drive DPFC whose control parameters are generated with BWO technique. The analysis is compared with various techniques like PI, P&O, GSA, ASO, RFA, EVORFA, and BWO and obtained the best results. The test system is simulated in MATLAB/Simulink software. GRAPHICAL ABSTRACT
期刊介绍:
Smart Science (ISSN 2308-0477) is an international, peer-reviewed journal that publishes significant original scientific researches, and reviews and analyses of current research and science policy. We welcome submissions of high quality papers from all fields of science and from any source. Articles of an interdisciplinary nature are particularly welcomed. Smart Science aims to be among the top multidisciplinary journals covering a broad spectrum of smart topics in the fields of materials science, chemistry, physics, engineering, medicine, and biology. Smart Science is currently focusing on the topics of Smart Manufacturing (CPS, IoT and AI) for Industry 4.0, Smart Energy and Smart Chemistry and Materials. Other specific research areas covered by the journal include, but are not limited to: 1. Smart Science in the Future 2. Smart Manufacturing: -Cyber-Physical System (CPS) -Internet of Things (IoT) and Internet of Brain (IoB) -Artificial Intelligence -Smart Computing -Smart Design/Machine -Smart Sensing -Smart Information and Networks 3. Smart Energy and Thermal/Fluidic Science 4. Smart Chemistry and Materials