电气工程学报 ›› 2017, Vol. 12 ›› Issue (11): 12-20.doi: 10.11985/2017.11.003

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考虑分时电价电动汽车负荷的微电网优化调度

徐从启1,高瑞林1,贾桂芝1,王永谦2,刘庆辉3   

  1. 1. 62026部队 西安 710032
    2. 北京北变微电网有限公司 北京 100037
    3. 68302部队 渭南 714000
  • 收稿日期:2016-05-27 出版日期:2017-11-25 发布日期:2017-11-25
  • 作者简介:徐从启 男 1981年生,博士,62026部队工程师,主要研究领域为智能微电网、新能源利用及野营供配电。|高瑞林 男 1963年生,高级工程师,主要研究领域为新能源利用和智能微电网。
  • 基金资助:
    部委级后勤科研面上资助项目(CY112C020);中国博士后科学基金会资助项目(2015T81086);中国博士后科学基金会资助项目(2013M542488)

Scheduling of Micro-Grid Considering Electrical Vehicles of Time-of-Use Tariffs

Xu Congqi1,Gao Ruilin1,Jia Guizhi1, 2,Liu Qinghui3   

  1. 1. Unit 62026 Xi’an 710032 China;
    2. Beijing Beibian MicroGrid Technology Co.,Ltd Beijing 100037 China
    3. Unit 68302 Weinan 714000 China
  • Received:2016-05-27 Online:2017-11-25 Published:2017-11-25

摘要:

针对含有电动汽车负荷的微电网,提出了一种考虑分时电价电动汽车负荷的微电网调度方法。分析了分时电价对电动汽车充电概率影响,进而计算了考虑分时电价的电动汽车负荷;建立了含电动汽车、风力发电、光伏发电、微型燃气轮机和柴油机等多微源及负荷的微电网优化调度模型;采用权重粒子群算法(PSO)求解获取最优调度策略。实验结果表明:所提方法能获取分时电价下含电动汽车负荷的微电网经济调度策略,调度策略有效可行。

关键词: 微电网, 优化调度, 电动汽车, 分时电价, 粒子群算法

Abstract: Aim

ing to the micro-grid containing EV (electric vehicle) load,the scheduling method is proposed for micro-grid, considering the load of time-of-use tariffs. The affections of time-of-use tariffs on charging probability of EVs is analyzed, and then is used to calculate the EVs load. The scheduling model is built for micro-grid including many sources and loads, such as, EVs, wind turbines, photovoltaic cells, micro gas turbines, diesel engines. Based on this model, the weights particle swarm optimization (PSO) is used to search the optimal scheduling policy. The results show that the proposed method can obtain the micro-economic dispatch policy containing time-of-use tariffs of EVs load and the schedulingis effective and feasible.

Key words: Micro-grid, optimal operation, plug-in electric vehicle, time-of-use pricing, particle swarm optimization

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