{"title":"Research on The Location and Capacity of The Distributed Generation in Distribution Network","authors":"Yuhang Li","doi":"10.1109/ICDSBA48748.2019.00100","DOIUrl":null,"url":null,"abstract":"Distributed Generation plays an important role in promoting sustainable economic and social development. It has a huge contribution to optimizing energy structure, coping with climate change and protecting ecological environment. The way for selecting and fixing the capacity, therefor, is a very important part of the implementation process. Based on chaotic search and particle swarm optimization, this paper implements an economical and practical method for distributed power supply location and capacity by analyzing grid loss. Through the analysis of the example, the new algorithm, which is superior to the original particle swarm optimization algorithm in calculation accuracy, convergence velocity and optimization ability, provides a theoretical base for multi-objective planning of distributed generation supply.","PeriodicalId":382429,"journal":{"name":"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDSBA48748.2019.00100","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
Distributed Generation plays an important role in promoting sustainable economic and social development. It has a huge contribution to optimizing energy structure, coping with climate change and protecting ecological environment. The way for selecting and fixing the capacity, therefor, is a very important part of the implementation process. Based on chaotic search and particle swarm optimization, this paper implements an economical and practical method for distributed power supply location and capacity by analyzing grid loss. Through the analysis of the example, the new algorithm, which is superior to the original particle swarm optimization algorithm in calculation accuracy, convergence velocity and optimization ability, provides a theoretical base for multi-objective planning of distributed generation supply.