{"title":"利用遗传调谐电池储能技术改善隔离电力系统的负载频率特性","authors":"S. Z. N. Dar, M. Mufti","doi":"10.1109/RDCAPE.2017.8358303","DOIUrl":null,"url":null,"abstract":"This article presents usage of genetically tuned strategy for the upgraded and better response attributes of small sized battery energy storage system (BESS) in regard to load frequency control (LFC) applications of a single area power system with high penetration of wind. As opposed to the customary control methods this scheme proposes using genetic algorithm (GA) for the automatic updating of proportional and integral gains. Improvement in damping of frequency and power oscillations are presented. The tracking of reference power to actual power is also displayed.","PeriodicalId":442235,"journal":{"name":"2017 Recent Developments in Control, Automation & Power Engineering (RDCAPE)","volume":"321 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Improved load frequency characteristics in isolated power system with genetically tuned battery energy storage\",\"authors\":\"S. Z. N. Dar, M. Mufti\",\"doi\":\"10.1109/RDCAPE.2017.8358303\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article presents usage of genetically tuned strategy for the upgraded and better response attributes of small sized battery energy storage system (BESS) in regard to load frequency control (LFC) applications of a single area power system with high penetration of wind. As opposed to the customary control methods this scheme proposes using genetic algorithm (GA) for the automatic updating of proportional and integral gains. Improvement in damping of frequency and power oscillations are presented. The tracking of reference power to actual power is also displayed.\",\"PeriodicalId\":442235,\"journal\":{\"name\":\"2017 Recent Developments in Control, Automation & Power Engineering (RDCAPE)\",\"volume\":\"321 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 Recent Developments in Control, Automation & Power Engineering (RDCAPE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RDCAPE.2017.8358303\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Recent Developments in Control, Automation & Power Engineering (RDCAPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RDCAPE.2017.8358303","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Improved load frequency characteristics in isolated power system with genetically tuned battery energy storage
This article presents usage of genetically tuned strategy for the upgraded and better response attributes of small sized battery energy storage system (BESS) in regard to load frequency control (LFC) applications of a single area power system with high penetration of wind. As opposed to the customary control methods this scheme proposes using genetic algorithm (GA) for the automatic updating of proportional and integral gains. Improvement in damping of frequency and power oscillations are presented. The tracking of reference power to actual power is also displayed.
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