Xiaofeng Peng, Ye Yang, Da Meng, Han Cheng, Yinping Dai, Xiaoqing Zhang, Yulu Zhong
{"title":"Research on Orderly Charging Control Strategy in Demond Response","authors":"Xiaofeng Peng, Ye Yang, Da Meng, Han Cheng, Yinping Dai, Xiaoqing Zhang, Yulu Zhong","doi":"10.1109/REPE52765.2021.9617080","DOIUrl":null,"url":null,"abstract":"The increasing amount of electric vehicle has brought threat on the distribution network reliability, but it also provides great load flexibility opportunities. With appropriate guidance, electric vehicle charging loads can be an important demand response resource. The charging of electric vehicles for demand response can be formulized as a nonlinear multiple-objective optimization problem. This article studies mathematical optimization models for orderly charging in different demand response scenarios and proposes a strategy of orderly charging for demand response. The effectiveness of the ordered charging model and solution method are demonstrated using both simulation data and actual charging data.","PeriodicalId":136285,"journal":{"name":"2021 IEEE 4th International Conference on Renewable Energy and Power Engineering (REPE)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 4th International Conference on Renewable Energy and Power Engineering (REPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/REPE52765.2021.9617080","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The increasing amount of electric vehicle has brought threat on the distribution network reliability, but it also provides great load flexibility opportunities. With appropriate guidance, electric vehicle charging loads can be an important demand response resource. The charging of electric vehicles for demand response can be formulized as a nonlinear multiple-objective optimization problem. This article studies mathematical optimization models for orderly charging in different demand response scenarios and proposes a strategy of orderly charging for demand response. The effectiveness of the ordered charging model and solution method are demonstrated using both simulation data and actual charging data.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
