电器与能效管理技术 ›› 2020, Vol. 591 ›› Issue (6): 96-102.doi: 10.16628/j.cnki.2095-8188.2020.06.018

• 电动汽车充电桩技术 • 上一篇    

随机行驶电动汽车禁忌搜索充电定位算法

何瑞辉1, 郑桢1, 邢涛1, 石进永2   

  1. 1. 海南电网公司,海南 海口 570100;
    2. 国电南瑞科技股份有限公司,江苏 南京 211106
  • 收稿日期:2020-01-08 出版日期:2020-06-15 发布日期:2020-07-07
  • 作者简介:何瑞辉(1971—),男,高级工程师,主要从事电力能源产业链整合发展研究。
    郑桢(1982—),男,工程师,主要从事电力系统通信工作。
    邢涛(1972—),男,工程师,主要从事电力系统安全稳定控制策略研究与项目管理工作。
  • 基金资助:
    南方电网科技项目(070000KK52180020)

Tabu Search Charging Positioning Algorithm for Random Driving Electric Vehicles

HE Ruihui1, ZHEN Zhen1, XING Tao1, SHI Jinyong2   

  1. 1. Hainan Power Grid Company,Haikou 570100,China;
    2. NARI Technology Co.,Ltd.,Nanjing 211106,China
  • Received:2020-01-08 Online:2020-06-15 Published:2020-07-07

摘要: 在分析确定性流动充电定位问题的基础上,建立电动汽车期望流动充电定位模型解决电动汽车行驶范围随机性和不同充电需求带来的充电站选址问题。针对模型中电动汽车随机行驶问题,采用禁忌搜索算法进行启发式求解分析,以获取最佳定位解。实验数据表明,禁忌搜索算法可在较短计算时间内始终提供高质量的解,为充电站的规划定位提供理论支撑。

关键词: 电动汽车充电, 随机行驶范围, 混合整数线性规划, 禁忌搜索算法

Abstract: Aiming at the randomness of the driving range of electric vehicles and the charging station location problem caused by different charging requirements,the problem of deterministic flow charging positioning is analyzed,and the expected flow charging positioning model of electric vehicles is established,and the random driving problem of electric vehicles in this model is solved.The tabu search algorithm is used to perform heuristic solution analysis to obtain the best positioning solution.The experimental data shows that the tabu search algorithm can always provide high-quality solutions in a short calculation time,providing theoretical support for the planning and positioning of charging stations.

Key words: electric vehicle charging, stochastic driving range, mixed-integer linear programming, tabu search algorithm

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