{"title":"基于PSO的输电网扩容规划","authors":"A. Simo, C. Barbulescu, S. Kilyeni, A. Deacu","doi":"10.1109/MELCON.2014.6820589","DOIUrl":null,"url":null,"abstract":"The transmission network expansion planning (TNEP) problem is tackled within this paper. The TNEP study is approached for a real power system designed based on the Western and South-Western parts of the Romanian Power System. The study is performed considering 3 consumed power evolution scenarios and power transfers. The complete a.c. power flow computing mathematical model has been applied. To solve this problem the particle swarm optimization (PSO) technique (artificial intelligence field) is used. Few practical considerations are presented, followed by the developed software tool. The results are discussed in details for one case and for the other two cases, they are summarized.","PeriodicalId":103316,"journal":{"name":"MELECON 2014 - 2014 17th IEEE Mediterranean Electrotechnical Conference","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"PSO based transmission network expansion planning\",\"authors\":\"A. Simo, C. Barbulescu, S. Kilyeni, A. Deacu\",\"doi\":\"10.1109/MELCON.2014.6820589\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The transmission network expansion planning (TNEP) problem is tackled within this paper. The TNEP study is approached for a real power system designed based on the Western and South-Western parts of the Romanian Power System. The study is performed considering 3 consumed power evolution scenarios and power transfers. The complete a.c. power flow computing mathematical model has been applied. To solve this problem the particle swarm optimization (PSO) technique (artificial intelligence field) is used. Few practical considerations are presented, followed by the developed software tool. The results are discussed in details for one case and for the other two cases, they are summarized.\",\"PeriodicalId\":103316,\"journal\":{\"name\":\"MELECON 2014 - 2014 17th IEEE Mediterranean Electrotechnical Conference\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-04-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"MELECON 2014 - 2014 17th IEEE Mediterranean Electrotechnical Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MELCON.2014.6820589\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"MELECON 2014 - 2014 17th IEEE Mediterranean Electrotechnical Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MELCON.2014.6820589","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The transmission network expansion planning (TNEP) problem is tackled within this paper. The TNEP study is approached for a real power system designed based on the Western and South-Western parts of the Romanian Power System. The study is performed considering 3 consumed power evolution scenarios and power transfers. The complete a.c. power flow computing mathematical model has been applied. To solve this problem the particle swarm optimization (PSO) technique (artificial intelligence field) is used. Few practical considerations are presented, followed by the developed software tool. The results are discussed in details for one case and for the other two cases, they are summarized.
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