Mengran Fang, L. Zeng, Dandan Guo, Shuang Fang, Chunling Zhang
{"title":"Voltage control of renewable-penetrated distribution network","authors":"Mengran Fang, L. Zeng, Dandan Guo, Shuang Fang, Chunling Zhang","doi":"10.1109/ICVRIS51417.2020.00186","DOIUrl":null,"url":null,"abstract":"The issue needs to be solved in this article is optimising voltage control of renewable-penetrated distributed network. The IEEE-33 system will be analysed in the article. The system includes many units, which are renewable energy, capacitor banks and diesel engine. The approach adopted in this paper is simulation in a fitness function by Matlab. Data management is the first step. It includes transfer active power, transfer reactive power and PV penetration. Next is model decision. Then, Genetic Algorithm is the chosen optimization method. The optimal result is illustrated at the end of this research.","PeriodicalId":162549,"journal":{"name":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICVRIS51417.2020.00186","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
The issue needs to be solved in this article is optimising voltage control of renewable-penetrated distributed network. The IEEE-33 system will be analysed in the article. The system includes many units, which are renewable energy, capacitor banks and diesel engine. The approach adopted in this paper is simulation in a fitness function by Matlab. Data management is the first step. It includes transfer active power, transfer reactive power and PV penetration. Next is model decision. Then, Genetic Algorithm is the chosen optimization method. The optimal result is illustrated at the end of this research.