{"title":"基于粒子群算法的实数和无功功率分解优化潮流","authors":"K. Rojanaworahiran, K. Chayakulkheeree","doi":"10.1109/ICPEI47862.2019.8945022","DOIUrl":null,"url":null,"abstract":"This paper proposes a real and reactive powers decomposition optimal power flow (PQDOPF). The problem formulation was solved by particle swarm optimization (PSO). In the PQDOPF problem formulation, the total cost minimization subproblem (TCMS) and the total real power loss minimization subproblem (TLMS) are solved by PSO successively. The PQDOPF algorithm had been simulated with IEEE 30 buses system. The simulation result shown that the proposed algorithm can efficiently minimize the total operating cost with total system loss consideration.","PeriodicalId":128066,"journal":{"name":"2019 International Conference on Power, Energy and Innovations (ICPEI)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Real and Reactive Powers Decomposition Optimal Power Flow Using Particle Swarm Optimization\",\"authors\":\"K. Rojanaworahiran, K. Chayakulkheeree\",\"doi\":\"10.1109/ICPEI47862.2019.8945022\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a real and reactive powers decomposition optimal power flow (PQDOPF). The problem formulation was solved by particle swarm optimization (PSO). In the PQDOPF problem formulation, the total cost minimization subproblem (TCMS) and the total real power loss minimization subproblem (TLMS) are solved by PSO successively. The PQDOPF algorithm had been simulated with IEEE 30 buses system. The simulation result shown that the proposed algorithm can efficiently minimize the total operating cost with total system loss consideration.\",\"PeriodicalId\":128066,\"journal\":{\"name\":\"2019 International Conference on Power, Energy and Innovations (ICPEI)\",\"volume\":\"57 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Power, Energy and Innovations (ICPEI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPEI47862.2019.8945022\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Power, Energy and Innovations (ICPEI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPEI47862.2019.8945022","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Real and Reactive Powers Decomposition Optimal Power Flow Using Particle Swarm Optimization
This paper proposes a real and reactive powers decomposition optimal power flow (PQDOPF). The problem formulation was solved by particle swarm optimization (PSO). In the PQDOPF problem formulation, the total cost minimization subproblem (TCMS) and the total real power loss minimization subproblem (TLMS) are solved by PSO successively. The PQDOPF algorithm had been simulated with IEEE 30 buses system. The simulation result shown that the proposed algorithm can efficiently minimize the total operating cost with total system loss consideration.