{"title":"利用DE技术对电力系统安全进行DG优化配置","authors":"M. R. Estabragh, M. Mohammadian","doi":"10.1109/AEECT.2011.6132489","DOIUrl":null,"url":null,"abstract":"This paper presents a novel strategy for optimizing Distributed Generation placement to improvement power system voltage stability margin and reducing losses. This method establishes a tradeoff between the security and power losses by using Differential Evolution (DE) method to reach the best performance and acceptable operation. In recent years, Differential Evolution has been successfully used for the solution of complex optimization problems. Hence, with respect to the behavior of this non-linear hierarchical optimization problem, the proposed method has been developed and examined on IEEE 14 bus test system by a developed Toolbox.","PeriodicalId":408446,"journal":{"name":"2011 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Optimal allocation of DG regarding to power system security via DE technique\",\"authors\":\"M. R. Estabragh, M. Mohammadian\",\"doi\":\"10.1109/AEECT.2011.6132489\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a novel strategy for optimizing Distributed Generation placement to improvement power system voltage stability margin and reducing losses. This method establishes a tradeoff between the security and power losses by using Differential Evolution (DE) method to reach the best performance and acceptable operation. In recent years, Differential Evolution has been successfully used for the solution of complex optimization problems. Hence, with respect to the behavior of this non-linear hierarchical optimization problem, the proposed method has been developed and examined on IEEE 14 bus test system by a developed Toolbox.\",\"PeriodicalId\":408446,\"journal\":{\"name\":\"2011 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)\",\"volume\":\"102 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AEECT.2011.6132489\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AEECT.2011.6132489","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal allocation of DG regarding to power system security via DE technique
This paper presents a novel strategy for optimizing Distributed Generation placement to improvement power system voltage stability margin and reducing losses. This method establishes a tradeoff between the security and power losses by using Differential Evolution (DE) method to reach the best performance and acceptable operation. In recent years, Differential Evolution has been successfully used for the solution of complex optimization problems. Hence, with respect to the behavior of this non-linear hierarchical optimization problem, the proposed method has been developed and examined on IEEE 14 bus test system by a developed Toolbox.