{"title":"基于模糊免疫协同进化算法的多FACTS控制器协调设计","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":"{\"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}","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}
Coordinated design of multiple FACTS controllers based on fuzzy immune co-evolutionary Algorithm
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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