{"title":"Optimization of Capacitor Placement in Radial Distribution System Using Integer Encoding Genetic Algorithm","authors":"I. K. Suryawan, Igna Dwijaya Saputra","doi":"10.1109/iCAST51016.2020.9557646","DOIUrl":null,"url":null,"abstract":"There are some problems in the distribution system such as, real power losses, lagging components of the current circuit that happened due to the growth of the load. These problems will impact in increasing the annual cost of the distribution system. One of the methods to avoid these problems is by installing the capacitors on several buses. These capacitors can reduce real power losses and also improve the bus voltage profile. The effectiveness of the capacitor installation depends on the location and size of the capacitor. In this paper, the tracing of the optimal capacitor location and size was carried out using an integer encoding genetic algorithm. Numerical simulation with a test system of 10 and 34 buses have been conducted and found that the proposed method was able to trace the optimal capacitor location and its size. This proposed method was able to provide more saving annual cost and better voltage improvement compared to the Modified ABC Algorithm.","PeriodicalId":334854,"journal":{"name":"2020 International Conference on Applied Science and Technology (iCAST)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Applied Science and Technology (iCAST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iCAST51016.2020.9557646","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
There are some problems in the distribution system such as, real power losses, lagging components of the current circuit that happened due to the growth of the load. These problems will impact in increasing the annual cost of the distribution system. One of the methods to avoid these problems is by installing the capacitors on several buses. These capacitors can reduce real power losses and also improve the bus voltage profile. The effectiveness of the capacitor installation depends on the location and size of the capacitor. In this paper, the tracing of the optimal capacitor location and size was carried out using an integer encoding genetic algorithm. Numerical simulation with a test system of 10 and 34 buses have been conducted and found that the proposed method was able to trace the optimal capacitor location and its size. This proposed method was able to provide more saving annual cost and better voltage improvement compared to the Modified ABC Algorithm.