{"title":"Research on instantaneous off-peak degree and acceptance capacity of charging facilities","authors":"Zhiyong Liu","doi":"10.1109/ICPICS55264.2022.9873738","DOIUrl":null,"url":null,"abstract":"Under the background of “carbon neutralization and carbon peak”, in order to alleviate the pressure of distribution network capacity expansion caused by large-scale electric vehicle access, this paper proposes a capacity evaluation method of distribution network receiving charging facilities considering load coincidence factors. Firstly, the calculation models of regional existing load and charging load are established. Secondly, an acceptance capacity evaluation method based on bipartite cyclic approximation method is proposed. Taking the full-time power flow calculation results as security constraints, and finally the maximum acceptance capacity is obtained. The influence of different load interactive characteristics on the acceptance capacity is evaluated by instantaneous off-peak degree, and the acceptance capacity of charging facilities under different distribution network scenarios is solved. It shows that the proposed method can improve the utilization of distribution network capacity resources and reduce unnecessary capacity expansion requirements.","PeriodicalId":257180,"journal":{"name":"2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPICS55264.2022.9873738","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
Under the background of “carbon neutralization and carbon peak”, in order to alleviate the pressure of distribution network capacity expansion caused by large-scale electric vehicle access, this paper proposes a capacity evaluation method of distribution network receiving charging facilities considering load coincidence factors. Firstly, the calculation models of regional existing load and charging load are established. Secondly, an acceptance capacity evaluation method based on bipartite cyclic approximation method is proposed. Taking the full-time power flow calculation results as security constraints, and finally the maximum acceptance capacity is obtained. The influence of different load interactive characteristics on the acceptance capacity is evaluated by instantaneous off-peak degree, and the acceptance capacity of charging facilities under different distribution network scenarios is solved. It shows that the proposed method can improve the utilization of distribution network capacity resources and reduce unnecessary capacity expansion requirements.