{"title":"Hybrid Approach for Placement of Multiple DGs in Primary Distribution Networks","authors":"Divesh Kumar, Satish Kansal","doi":"10.51983/ajes-2019.8.3.2105","DOIUrl":null,"url":null,"abstract":"This paper proposes the hybrid approach for multiple distributed generators placement to achieve a high loss reduction in a primary distribution networks. The analytical method has been extended for practical power injections. This approach is based on improved analytical expressions to calculate the optimum size of DGs and heuristic technique to identify the best locations for DG allocations. The optimal power factors of the DGs have also been evaluated in this work. To validate the proposed hybrid approach, results have been compared with particle swarm optimization (PSO) technique and existing fast improved analytical (IA) approach results. The proposed technique has been tested on 33-bus test system.","PeriodicalId":365290,"journal":{"name":"Asian Journal of Electrical Sciences","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Journal of Electrical Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.51983/ajes-2019.8.3.2105","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
This paper proposes the hybrid approach for multiple distributed generators placement to achieve a high loss reduction in a primary distribution networks. The analytical method has been extended for practical power injections. This approach is based on improved analytical expressions to calculate the optimum size of DGs and heuristic technique to identify the best locations for DG allocations. The optimal power factors of the DGs have also been evaluated in this work. To validate the proposed hybrid approach, results have been compared with particle swarm optimization (PSO) technique and existing fast improved analytical (IA) approach results. The proposed technique has been tested on 33-bus test system.