{"title":"基于混合粒子群优化的潮流求解","authors":"A. El-Dib, H. Youssef, M. El-Metwally, Z. Osman","doi":"10.1109/ICEEC.2004.1374585","DOIUrl":null,"url":null,"abstract":"Load flow (LF) is an important tool in the planning and operation of power systems. It is usually solved using conventional numerical techniques like Newton-Raphson (NR) or GaussSeidel (GS) methods. This paper presents an application of particle swarm optimization (PSO) in solving the load flow problem as an optimization problem. Examples on test systems are given to demonstrate the validity and applicability of the proposed method.","PeriodicalId":180043,"journal":{"name":"International Conference on Electrical, Electronic and Computer Engineering, 2004. ICEEC '04.","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"39","resultStr":"{\"title\":\"Load flow solution using hybrid particle swarm optimization\",\"authors\":\"A. El-Dib, H. Youssef, M. El-Metwally, Z. Osman\",\"doi\":\"10.1109/ICEEC.2004.1374585\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Load flow (LF) is an important tool in the planning and operation of power systems. It is usually solved using conventional numerical techniques like Newton-Raphson (NR) or GaussSeidel (GS) methods. This paper presents an application of particle swarm optimization (PSO) in solving the load flow problem as an optimization problem. Examples on test systems are given to demonstrate the validity and applicability of the proposed method.\",\"PeriodicalId\":180043,\"journal\":{\"name\":\"International Conference on Electrical, Electronic and Computer Engineering, 2004. ICEEC '04.\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"39\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Electrical, Electronic and Computer Engineering, 2004. ICEEC '04.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEEC.2004.1374585\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Electrical, Electronic and Computer Engineering, 2004. ICEEC '04.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEEC.2004.1374585","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Load flow solution using hybrid particle swarm optimization
Load flow (LF) is an important tool in the planning and operation of power systems. It is usually solved using conventional numerical techniques like Newton-Raphson (NR) or GaussSeidel (GS) methods. This paper presents an application of particle swarm optimization (PSO) in solving the load flow problem as an optimization problem. Examples on test systems are given to demonstrate the validity and applicability of the proposed method.
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