M. Mahdavian, M. Kafi, A. Movahedi, M. Janghorbani
{"title":"Improve performance in electrical power distribution system by optimal capacitor placement using genetic algorithm","authors":"M. Mahdavian, M. Kafi, A. Movahedi, M. Janghorbani","doi":"10.1109/ECTICON.2017.8096347","DOIUrl":null,"url":null,"abstract":"The aim of this work is improve voltage profile and active power loss. Capacitor placement and sizing are done by loss sensitivity analysis and GA. Power loss sensitivity factor offer the important information about each section in a feeder. This factor is determined using load flow study. In a feeder, Sections with highest power loss sensitivity are selected to installation the capacitor. GA with a multi-purpose goal function for simultaneous reduction of the losses and the improvement of the voltage profile detects the optimal size of capacitor in each candidate section. The results of the application of this method are compared with the results obtained from the installation of capacitors by DIGSILENT software.","PeriodicalId":273911,"journal":{"name":"2017 14th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 14th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECTICON.2017.8096347","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
The aim of this work is improve voltage profile and active power loss. Capacitor placement and sizing are done by loss sensitivity analysis and GA. Power loss sensitivity factor offer the important information about each section in a feeder. This factor is determined using load flow study. In a feeder, Sections with highest power loss sensitivity are selected to installation the capacitor. GA with a multi-purpose goal function for simultaneous reduction of the losses and the improvement of the voltage profile detects the optimal size of capacitor in each candidate section. The results of the application of this method are compared with the results obtained from the installation of capacitors by DIGSILENT software.