{"title":"粒子群优化在经济调度中的应用","authors":"Juan David Gomez, L. Gaitan, E. Trujillo","doi":"10.1109/PEPQA.2017.7981664","DOIUrl":null,"url":null,"abstract":"This article presents an application of the Particle Swarm Optimization (PSO) on the optimization of the power flow in a IEEE system with 30 nodes, which has some nodes with distributed generation. In first place, the mathematical model used for the optimization of the electricity generation costs. Afterwards, this model is applied in a case study with a IEEE system with 30 nodes. The results obtained through PSO are compared to other optimization methods, demonstrating that the cost and losses for the 30-node system are less than the values delivered by other methods. Then the same model is applied for the same power system with distributed generation in some of their nodes.","PeriodicalId":256426,"journal":{"name":"2017 IEEE Workshop on Power Electronics and Power Quality Applications (PEPQA)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Particle swarm optimization applied to economic dispatchs\",\"authors\":\"Juan David Gomez, L. Gaitan, E. Trujillo\",\"doi\":\"10.1109/PEPQA.2017.7981664\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article presents an application of the Particle Swarm Optimization (PSO) on the optimization of the power flow in a IEEE system with 30 nodes, which has some nodes with distributed generation. In first place, the mathematical model used for the optimization of the electricity generation costs. Afterwards, this model is applied in a case study with a IEEE system with 30 nodes. The results obtained through PSO are compared to other optimization methods, demonstrating that the cost and losses for the 30-node system are less than the values delivered by other methods. Then the same model is applied for the same power system with distributed generation in some of their nodes.\",\"PeriodicalId\":256426,\"journal\":{\"name\":\"2017 IEEE Workshop on Power Electronics and Power Quality Applications (PEPQA)\",\"volume\":\"99 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE Workshop on Power Electronics and Power Quality Applications (PEPQA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PEPQA.2017.7981664\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Workshop on Power Electronics and Power Quality Applications (PEPQA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PEPQA.2017.7981664","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Particle swarm optimization applied to economic dispatchs
This article presents an application of the Particle Swarm Optimization (PSO) on the optimization of the power flow in a IEEE system with 30 nodes, which has some nodes with distributed generation. In first place, the mathematical model used for the optimization of the electricity generation costs. Afterwards, this model is applied in a case study with a IEEE system with 30 nodes. The results obtained through PSO are compared to other optimization methods, demonstrating that the cost and losses for the 30-node system are less than the values delivered by other methods. Then the same model is applied for the same power system with distributed generation in some of their nodes.
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