{"title":"基于多目标协调搜索算法的配电系统中分布式发电机组的最优布局与优化选型","authors":"Yuan Liu, Yun-hua Li, Ke-yan Liu, W. Sheng","doi":"10.1109/RAM.2013.6758578","DOIUrl":null,"url":null,"abstract":"This study deals with the optimal placement and sizing issue in distribution power system with distributed generation (DG). This issue is a sophisticated multi-objective optimization problem with constraints of investment and power system operation demands. In this paper, minimum power loss, minimum voltage deviation and maximal voltage stability margin are taken into account for the optimization of DG planning. To solve the comprehensive multi-objective optimization problem, a meta-heuristic searching algorithm harmony search (HS) is improved with the fast non-dominated sorting approach, which forms the novel intelligent optimization algorithm called multi-objective harmony search (MOHS). Simulation on IEEE 33-bus test system and comparisons with some other multi-objective evolutionary algorithms yield promising results for optimal placement and sizing of DG based on MOHS.","PeriodicalId":287085,"journal":{"name":"2013 6th IEEE Conference on Robotics, Automation and Mechatronics (RAM)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Optimal placement and sizing of distributed generation in distribution power system based on multi-objective harmony search algorithm\",\"authors\":\"Yuan Liu, Yun-hua Li, Ke-yan Liu, W. Sheng\",\"doi\":\"10.1109/RAM.2013.6758578\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study deals with the optimal placement and sizing issue in distribution power system with distributed generation (DG). This issue is a sophisticated multi-objective optimization problem with constraints of investment and power system operation demands. In this paper, minimum power loss, minimum voltage deviation and maximal voltage stability margin are taken into account for the optimization of DG planning. To solve the comprehensive multi-objective optimization problem, a meta-heuristic searching algorithm harmony search (HS) is improved with the fast non-dominated sorting approach, which forms the novel intelligent optimization algorithm called multi-objective harmony search (MOHS). Simulation on IEEE 33-bus test system and comparisons with some other multi-objective evolutionary algorithms yield promising results for optimal placement and sizing of DG based on MOHS.\",\"PeriodicalId\":287085,\"journal\":{\"name\":\"2013 6th IEEE Conference on Robotics, Automation and Mechatronics (RAM)\",\"volume\":\"128 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 6th IEEE Conference on Robotics, Automation and Mechatronics (RAM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RAM.2013.6758578\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 6th IEEE Conference on Robotics, Automation and Mechatronics (RAM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RAM.2013.6758578","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal placement and sizing of distributed generation in distribution power system based on multi-objective harmony search algorithm
This study deals with the optimal placement and sizing issue in distribution power system with distributed generation (DG). This issue is a sophisticated multi-objective optimization problem with constraints of investment and power system operation demands. In this paper, minimum power loss, minimum voltage deviation and maximal voltage stability margin are taken into account for the optimization of DG planning. To solve the comprehensive multi-objective optimization problem, a meta-heuristic searching algorithm harmony search (HS) is improved with the fast non-dominated sorting approach, which forms the novel intelligent optimization algorithm called multi-objective harmony search (MOHS). Simulation on IEEE 33-bus test system and comparisons with some other multi-objective evolutionary algorithms yield promising results for optimal placement and sizing of DG based on MOHS.