{"title":"改进粒子群算法及其在FSWGs综合电力系统中的应用","authors":"Gonggui Chen, Hangtian Lei, Jian Xu","doi":"10.1109/IWISA.2010.5473299","DOIUrl":null,"url":null,"abstract":"Dynamic optimal power flow (DOPF) is a typical complex multi-constrained non-convex non-linear programming problem when considering the valve-point effect of conventional generators. Moreover, it is mixed integer when considering the discreteness of reactive compensation devices for power system with fixed speed wind generators (FSWGs). DOPF model is established in this paper, and then an improved particle swarm optimization (IPSO)is adopted for solving the established DOPF model. IEEE 39-bus system is used to illustrate the effectiveness of the proposed method compared with those obtained from particle swarm optimization (PSO) algorithm. The test results show that the proposed method is effective and has a certain practicality.","PeriodicalId":298764,"journal":{"name":"2010 2nd International Workshop on Intelligent Systems and Applications","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Improved PSO & Its Application for DOPF in FSWGs Integrated Power System\",\"authors\":\"Gonggui Chen, Hangtian Lei, Jian Xu\",\"doi\":\"10.1109/IWISA.2010.5473299\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Dynamic optimal power flow (DOPF) is a typical complex multi-constrained non-convex non-linear programming problem when considering the valve-point effect of conventional generators. Moreover, it is mixed integer when considering the discreteness of reactive compensation devices for power system with fixed speed wind generators (FSWGs). DOPF model is established in this paper, and then an improved particle swarm optimization (IPSO)is adopted for solving the established DOPF model. IEEE 39-bus system is used to illustrate the effectiveness of the proposed method compared with those obtained from particle swarm optimization (PSO) algorithm. The test results show that the proposed method is effective and has a certain practicality.\",\"PeriodicalId\":298764,\"journal\":{\"name\":\"2010 2nd International Workshop on Intelligent Systems and Applications\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 2nd International Workshop on Intelligent Systems and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWISA.2010.5473299\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 2nd International Workshop on Intelligent Systems and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWISA.2010.5473299","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Improved PSO & Its Application for DOPF in FSWGs Integrated Power System
Dynamic optimal power flow (DOPF) is a typical complex multi-constrained non-convex non-linear programming problem when considering the valve-point effect of conventional generators. Moreover, it is mixed integer when considering the discreteness of reactive compensation devices for power system with fixed speed wind generators (FSWGs). DOPF model is established in this paper, and then an improved particle swarm optimization (IPSO)is adopted for solving the established DOPF model. IEEE 39-bus system is used to illustrate the effectiveness of the proposed method compared with those obtained from particle swarm optimization (PSO) algorithm. The test results show that the proposed method is effective and has a certain practicality.
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