Fairuj Binte Faruque, S. Chowdhury, Md. Shahriar Nazim, Mycheal Sowmitra, Ali Azad
{"title":"Optimized Distributed Generation Planning for Radial Distribution System Using Particle Swarm Optimization Algorithm","authors":"Fairuj Binte Faruque, S. Chowdhury, Md. Shahriar Nazim, Mycheal Sowmitra, Ali Azad","doi":"10.1109/APPEEC50844.2021.9687727","DOIUrl":null,"url":null,"abstract":"Distributed generation is the procedure of storing and transmitting energy using many micro grid-connected or distribution system-connected devices. This paper presents the establishment of the best position of a Distributed Generation (DG) Unit. There has been an analysis of the radial distributed network. The location of distributed generation and the capacity of the distributed generation is prime factor here. The primary objective of this research is to reduce line losses while also improving the voltage profile. We have followed a robust technique called particle swarm optimization to achieve this objective. The application is illustrated on a 30 bus system of 132KV line Chittagong, Bangladesh power Grid system using Newton Raphson power flow approach. Results present the maximum reduction of real power loss in percentage and optimal location of Distributed Generation","PeriodicalId":345537,"journal":{"name":"2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APPEEC50844.2021.9687727","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
Distributed generation is the procedure of storing and transmitting energy using many micro grid-connected or distribution system-connected devices. This paper presents the establishment of the best position of a Distributed Generation (DG) Unit. There has been an analysis of the radial distributed network. The location of distributed generation and the capacity of the distributed generation is prime factor here. The primary objective of this research is to reduce line losses while also improving the voltage profile. We have followed a robust technique called particle swarm optimization to achieve this objective. The application is illustrated on a 30 bus system of 132KV line Chittagong, Bangladesh power Grid system using Newton Raphson power flow approach. Results present the maximum reduction of real power loss in percentage and optimal location of Distributed Generation