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基于ADMM的分布式有序充电调度算法

Translated title of the contribution: ADMM-based coordinated EV charging scheduling algorithm
  • East China University of Science and Technology

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Translated title of the contributionADMM-based coordinated EV charging scheduling algorithm
Original languageChinese (Traditional)
Pages (from-to)101-110
Number of pages10
JournalChongqing Daxue Xuebao/Journal of Chongqing University
Volume43
Issue number7
StatePublished - 1 Jul 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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