{"title":"Multi-Objective Optimal Siting & Location Of Multiple Dgs In Distribution Network Using Biogeography Based Optimization (BBO)","authors":"Madhu Valavala","doi":"10.1109/temsmet53515.2021.9768768","DOIUrl":null,"url":null,"abstract":"Transmission and distribution networks transport electricity from generating plants to consumers. Losses in the distribution system will have an impact on the system's efficacy. Every radial distributed network requires actual and reactive power loss calculations. The true power loss is extremely important in determining the system's performance. The importance of distributed generation location in minimizing real power loss cannot be overstated. Voltage profiles have to be improved as well. To reduce the real power loss, numerous optimization strategies for the placement and sizing of DG are being developed. In this research, Biogeography Based Optimization is used to improve the sizing and positioning of DG in order to reduce real power loss. The MATLAB platform is used to examine the results in order to determine the multi-objective parameters. To support the proposed method, the results were compared to that of other algorithms.","PeriodicalId":170546,"journal":{"name":"2021 IEEE 2nd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET)","volume":"126 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 2nd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/temsmet53515.2021.9768768","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
Transmission and distribution networks transport electricity from generating plants to consumers. Losses in the distribution system will have an impact on the system's efficacy. Every radial distributed network requires actual and reactive power loss calculations. The true power loss is extremely important in determining the system's performance. The importance of distributed generation location in minimizing real power loss cannot be overstated. Voltage profiles have to be improved as well. To reduce the real power loss, numerous optimization strategies for the placement and sizing of DG are being developed. In this research, Biogeography Based Optimization is used to improve the sizing and positioning of DG in order to reduce real power loss. The MATLAB platform is used to examine the results in order to determine the multi-objective parameters. To support the proposed method, the results were compared to that of other algorithms.