{"title":"Comprehensive SC renewal planning scheme considering optimal allocation and reallocation","authors":"K. Kimura, Yuta Tanaka, S. Iwamoto","doi":"10.1109/PES.2009.5275521","DOIUrl":null,"url":null,"abstract":"With the high economic growth period in Japan, the power demand has been increasing sharply year by year. Therefore, the Japanese utilities have installed Shunt Capacitors along with the predicted demand. Meanwhile, some SCs have been aged because they have been used for a long time. Therefore, they have to be replaced sometime soon. It is important to renew the aged SCs efficiently and economically. In this paper, we propose a new total SC renewal planning scheme using the voltage stability index L-index. This paper proposes an improved Particle Swarm Optimization (PSO) method. Since a search by PSO is considerably dependent on pbest and gbest, there is a possibility of settling in a local optimal solution. Therefore, Dispersed Hybrid PSO (DHPSO) is proposed to mitigate this drawback. We also proposed the optimal SC removal order scheme. Finally, we run simulations for the IEEJ 30 machine 115 bus system to confirm the validity of the proposed method.","PeriodicalId":258632,"journal":{"name":"2009 IEEE Power & Energy Society General Meeting","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE Power & Energy Society General Meeting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PES.2009.5275521","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
With the high economic growth period in Japan, the power demand has been increasing sharply year by year. Therefore, the Japanese utilities have installed Shunt Capacitors along with the predicted demand. Meanwhile, some SCs have been aged because they have been used for a long time. Therefore, they have to be replaced sometime soon. It is important to renew the aged SCs efficiently and economically. In this paper, we propose a new total SC renewal planning scheme using the voltage stability index L-index. This paper proposes an improved Particle Swarm Optimization (PSO) method. Since a search by PSO is considerably dependent on pbest and gbest, there is a possibility of settling in a local optimal solution. Therefore, Dispersed Hybrid PSO (DHPSO) is proposed to mitigate this drawback. We also proposed the optimal SC removal order scheme. Finally, we run simulations for the IEEJ 30 machine 115 bus system to confirm the validity of the proposed method.