Excitation Methods for EV Charging Process in Community Considering the Degree of User Response
编号:178 访问权限:仅限参会人 更新:2020-11-11 12:09:57 浏览:131次 张贴报告

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摘要
There are still deficiencies in the research on the optimal control strategy of electric vehicle (EV) charging process. In order to perfect this hot issue, this paper introduces the excitation methods for EV charging process in community considering the degree of user response. The mathematical models of charging process of both single EV and EV cluster are firstly established. Then the effect of time-of-use (TOU) power price excitation method is mathematically analyzed based on genetic algorithm. At last, the TOU power price excitation method considering degree of user response is presented. The mainly used method to get the solution is fuzzy membership degree algorithm. Comparisons are made to validate the method proposed in this paper.
关键词
Charging process,electric vehicle,time-of-use power price,user response,fuzzy membership degree
报告人
Xiaolong Xu
Xi'an Jiaotong University

稿件作者
Aixia Zheng State Grid Jiangsu Electric Power Research Institute
Bo Li State Grid Jiangsu Electric Power Research Institute
Shihai Yang State Grid Jiangsu Electric Power Research Institute
Xiaolong Xu Xi'an Jiaotong University
Xiaodong Cao State Grid Jiangsu Electric Power Research Institute
Yuqin Chen State Grid Jiangsu Electric Power Research Institute
Penglei Xu Xi’an Jiaotong University
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重要日期
  • 会议日期

    10月21日

    2019

    10月24日

    2019

  • 10月13日 2019

    摘要录用通知日期

  • 10月13日 2019

    初稿截稿日期

  • 10月14日 2019

    初稿录用通知日期

  • 10月24日 2019

    注册截止日期

  • 10月29日 2019

    终稿截稿日期

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