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基于ADMM的分布式有序充电调度算法

  • East China University of Science and Technology

科研成果: 期刊稿件文章同行评审

摘要

With the increasing number of electric vehicles (EVs), the out-of-order random charging behaviors cause the smart grid overload and the battery depreciation. Despite the fact that a lot of research has focused on EV charging coordination, it remains unexplored how to coordinate the EV charging while maximizing the convenience of EV drivers and minimizing the battery depreciation, which is a vital to the improvement of service quality of the charging station and the users' satisfaction, since the convenience and lifetime of battery are specially concerned by EV drivers. In this paper, we systematically studied the problem and a real-time charging scheme was proposed to coordinate the electric vehicle (EV) charging and decrease the battery depreciation. To prevent private leak and decrease calculation complexity, an ADMM-based distributed method was proposed. Extensive evaluations show that our distributed optimization method brings significant cost savings over existing methods. Simulation results show that the proposed algorithm could reduce the price cost of EV drivers and battery lifetime depreciation by up to 18.3% and 33.0% respectively.

投稿的翻译标题ADMM-based coordinated EV charging scheduling algorithm
源语言繁体中文
页(从-至)101-110
页数10
期刊Chongqing Daxue Xuebao/Journal of Chongqing University
43
7
出版状态已出版 - 1 7月 2020

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 7 - 经济适用的清洁能源
    可持续发展目标 7 经济适用的清洁能源

关键词

  • ADMM
  • Charging systems
  • Distributed algorithms
  • Scheduling methods

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