{"title":"The optimal on-site generation allocation in a radial distribution system using GA and PSO","authors":"K. Rajesh, J. Rao","doi":"10.1109/ICSTCEE54422.2021.9708570","DOIUrl":null,"url":null,"abstract":"In electrical power systems the application of Distributed Generation (DG) is quickly expanding because it provides a long-term solution to many distribution system challenges, like Management of Voltage and reduction in power loss. Power loss reduction is critical to the cost-effective operation of a power system. This paper investigated the suitable location and size of on-site generation using an optimization approach i.e the Particle Swarm Optimisation (PSO) and Genetic algorithm with the objective of reducing power loss and enhancing the voltage profile in distribution networks. The inability to properly find the DG position may have a contrary influence on the system’s efficiency. Appropriate location and size play a very effective and vital function in boosting system efficiency by decreasing active power loss and optimising the voltage on each and every bus in the system. The forward-backward sweep method is used in distribution load flow research. The results of the simulation show that PSO can produce the largest reductions in power loss.","PeriodicalId":146490,"journal":{"name":"2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSTCEE54422.2021.9708570","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
In electrical power systems the application of Distributed Generation (DG) is quickly expanding because it provides a long-term solution to many distribution system challenges, like Management of Voltage and reduction in power loss. Power loss reduction is critical to the cost-effective operation of a power system. This paper investigated the suitable location and size of on-site generation using an optimization approach i.e the Particle Swarm Optimisation (PSO) and Genetic algorithm with the objective of reducing power loss and enhancing the voltage profile in distribution networks. The inability to properly find the DG position may have a contrary influence on the system’s efficiency. Appropriate location and size play a very effective and vital function in boosting system efficiency by decreasing active power loss and optimising the voltage on each and every bus in the system. The forward-backward sweep method is used in distribution load flow research. The results of the simulation show that PSO can produce the largest reductions in power loss.