{"title":"Coordinated design of multiple FACTS controllers based on fuzzy immune co-evolutionary Algorithm","authors":"Liu Qing, Wang Zengzing","doi":"10.1109/PES.2009.5275629","DOIUrl":null,"url":null,"abstract":"A new method of multi-FACTS components coordinated control based on fuzzy immune co-evolutionary algorithm is proposed, which aimed at the negative interaction of FACTS controllers. The fuzzy mathematics model of the multi-objective optimization is provided using fuzzy set theory. The initial parameter is optimized with the use of co-evolutionary algorithm and immune algorithm. Compared with conventional Genetic Algorithm, this algorithm obviously reduces the computational time and has better convergence property. Two FACTS controllers — static synchronous series compensator (SSSC) and static synchronous compensator(STATCOM) is coordinated designed based on this strategy. The simulation result shows the effectiveness of the proposed algorithm.","PeriodicalId":258632,"journal":{"name":"2009 IEEE Power & Energy Society General Meeting","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE Power & Energy Society General Meeting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PES.2009.5275629","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18
Abstract
A new method of multi-FACTS components coordinated control based on fuzzy immune co-evolutionary algorithm is proposed, which aimed at the negative interaction of FACTS controllers. The fuzzy mathematics model of the multi-objective optimization is provided using fuzzy set theory. The initial parameter is optimized with the use of co-evolutionary algorithm and immune algorithm. Compared with conventional Genetic Algorithm, this algorithm obviously reduces the computational time and has better convergence property. Two FACTS controllers — static synchronous series compensator (SSSC) and static synchronous compensator(STATCOM) is coordinated designed based on this strategy. The simulation result shows the effectiveness of the proposed algorithm.
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