Diao Shoubin, Li Xinpeng, Caoxin, Li Jian, Du Peixin, Wang Qingyan
{"title":"State Analysis of Distributed Power System Considering the Randomness of PV Generation","authors":"Diao Shoubin, Li Xinpeng, Caoxin, Li Jian, Du Peixin, Wang Qingyan","doi":"10.1109/PRECEDE51386.2021.9681036","DOIUrl":null,"url":null,"abstract":"As the awareness of environmental protection increases, renewable energy generation, represented by photovoltaic power generation, is rapidly connected to the distribution network, changing the operating state and increasing uncertainty of state. Effective analysis of the system uncertainty is an important tool for system planning and optimization, based on which this paper investigates the state of the distribution system considering PV access. This paper first analyzes the impact mechanism of PV access on voltage, network loss and then studies the system state based on the uncertainty power flow analysis method considering the randomness of PV output, and finally analyzes the uncertain impact of PV access on the system state based on the improved IEEE 33 bus system.","PeriodicalId":161011,"journal":{"name":"2021 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"166 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PRECEDE51386.2021.9681036","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
As the awareness of environmental protection increases, renewable energy generation, represented by photovoltaic power generation, is rapidly connected to the distribution network, changing the operating state and increasing uncertainty of state. Effective analysis of the system uncertainty is an important tool for system planning and optimization, based on which this paper investigates the state of the distribution system considering PV access. This paper first analyzes the impact mechanism of PV access on voltage, network loss and then studies the system state based on the uncertainty power flow analysis method considering the randomness of PV output, and finally analyzes the uncertain impact of PV access on the system state based on the improved IEEE 33 bus system.