{"title":"An efficient algorithm for network reconfiguration in distribution system","authors":"Y. Jeon, Jae-Chul Kim","doi":"10.1109/TENCON.1999.818566","DOIUrl":null,"url":null,"abstract":"This paper presents an efficient algorithm for loss reduction of distribution system by sectionalizing switch operation in the distribution system. Simulated annealing can avoid escape from local minima by accepting improvements in cost, but the use of this algorithm is also responsible for an excessive computation time requirement. To overcome this major limitation of simulated annealing, we may use modified simulated annealing. The polynomial-time cooling schedule is used which is based on the statistics calculation during the search. This approach results in saving CPU time. Numerical examples demonstrate the validity and effectiveness of the proposed methodology.","PeriodicalId":121142,"journal":{"name":"Proceedings of IEEE. IEEE Region 10 Conference. TENCON 99. 'Multimedia Technology for Asia-Pacific Information Infrastructure' (Cat. No.99CH37030)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of IEEE. IEEE Region 10 Conference. TENCON 99. 'Multimedia Technology for Asia-Pacific Information Infrastructure' (Cat. No.99CH37030)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TENCON.1999.818566","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
This paper presents an efficient algorithm for loss reduction of distribution system by sectionalizing switch operation in the distribution system. Simulated annealing can avoid escape from local minima by accepting improvements in cost, but the use of this algorithm is also responsible for an excessive computation time requirement. To overcome this major limitation of simulated annealing, we may use modified simulated annealing. The polynomial-time cooling schedule is used which is based on the statistics calculation during the search. This approach results in saving CPU time. Numerical examples demonstrate the validity and effectiveness of the proposed methodology.