基于换电规则优化与车辆–电池组匹配的电动公交车充换电站充电优化策略
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  • 英文篇名:A Charging Optimization Strategy on Charging and Swapping Station for Electric Buses Based on Optimization of Switching Rules and Matching of Buses and Batteries
  • 作者:杨健维 ; 杨鹤 ; 张夏霖 ; 何正友
  • 英文作者:YANG Jianwei;YANG He;ZHANG Xialin;HE Zhengyou;School of Electrical Engineering, Southwest Jiaotong University;
  • 关键词:电动公交车 ; 充换电站 ; 换电规则 ; 匹配策略 ; 不确定性 ; 日前优化 ; 实时滚动修正
  • 英文关键词:electric bus;;charging and swapping station;;switching rules;;matching strategy;;uncertainty;;day-ahead optimization;;real-time dynamic correction
  • 中文刊名:ZGDC
  • 英文刊名:Proceedings of the CSEE
  • 机构:西南交通大学电气工程学院;
  • 出版日期:2018-12-14 11:12
  • 出版单位:中国电机工程学报
  • 年:2019
  • 期:v.39;No.619
  • 基金:国家杰出青年科学基金项目(51525702);; 国家自然科学基金项目(U1766208,51807168)~~
  • 语种:中文;
  • 页:ZGDC201908016
  • 页数:12
  • CN:08
  • ISSN:11-2107/TM
  • 分类号:165-175+358
摘要
考虑电动公交车换电模式下的换电规则具有灵活性、车辆与电池组的分离,以及公交车运行中规律性与不确定性并存的特点,提出一种基于换电规则优化、电池组与车辆匹配的充换电站日前优化–实时滚动修正两阶段充电优化策略。首先,建立换电规则模型与基于换电规则的车辆换电需求和电池组充电需求模型;建立匹配指标,提出基于熵权法的车辆换电需求与电池组充电需求匹配策略。在此基础上,日前优化策略以充电费用、充电负荷波动最小为目标,对换电规则与充电功率进行联合优化;实时滚动修正策略进行日前充电功率方案修正与异常情况处理。最后,对所提出的策略进行仿真验证,结果表明:所提出的优化策略能够有效降低充换电站的充电费用,平抑充电负荷波动,应对电动公交车实际运行不确定性与异常情况,为电动公交车充换电站的安全经济运行提供有力支撑。
        Considering the flexible switching rules, the separation between buses and batteries of the electric buses switching mode, and the coexistence of regularity and uncertainty in the operation of buses, this paper proposed a two-stage optimized charging strategy combining day-ahead optimization with real-time dynamic correction based on the optimization of switching rules and matching of batteries and buses. Firstly, establish the switching rule model and the buses swapping demand and batteries charging demand model were established based on the switching rule. And this paper established matching indexes and proposed a matching strategy for batteries demand of electric buses and charging demand of batteries by entropy weight method. On this basis, the day-ahead optimization strategy ensured the minimization of the charging cost and the fluctuation of charging load curve by joint optimization of switching rule and charging power. The real-time dynamic correction strategy corrected the charging power and dealt with abnormal situation. Finally, through simulation verification on the proposed strategy, results show that the proposed optimization strategy can reduce the charging cost and stabilize the fluctuation of charging load curve of the charging and swapping station, and cope with the actual operation uncertainty and abnormal situation of electric buses effectively. It provides strong support for safe and economic operation of charging and swapping station for electric buses.
引文
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