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山东大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (6): 108-114.doi: 10.6040/j.issn.1672-3961.0.2017.331

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需求侧规模化电动汽车的充电负荷优化调控策略

车长明1,2,张华栋1,李建祥1,袁弘1,刘海波2   

  1. 1. 国网山东省电力公司电力科学研究院, 山东 济南 250003;2. 山东鲁能智能技术有限公司, 山东 济南 250101
  • 收稿日期:2017-06-27 出版日期:2017-12-20 发布日期:2017-06-27
  • 作者简介:车长明(1985— ),男,山东德州人,工程师,硕士,主要研究方向为电动汽车充换电技术. E-mail: jcm_518@163.com

Optimization dispatch control strategy for charging load of large-scale electric vehicle on demand side

CHE Changming1,2, ZHANG Huadong1, LI Jianxiang1, YUAN Hong1, LIU Haibo2   

  1. 1. Electric Power Research Institute, State Grid Shandong Electric Power Company, Jinan 250003, Shandong, China;
    2. Shandong Luneng Intelligence Technology Co., Ltd., Jinan 250101, Shandong, China
  • Received:2017-06-27 Online:2017-12-20 Published:2017-06-27

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摘要： 针对电力需求侧电动汽车(electric vehicles, EV)用户充电行为的不确定性,分析电动汽车充电负荷调度与控制技术,构建电动汽车充电负荷调控优化模型,提出考虑分时电价与削峰填谷的分层多目标电动汽车充电策略,并对某区域内的1 000辆电动汽车的充电场景进行调控仿真试验。结果表明,本研究提出的优化充电策略能够有效降低充电费用和充电功率峰值,验证了所提出的优化调控策略的有效性。

关键词: 电力需求侧, 充电需求, 负荷预测, 荷电状态, 调控策略, 电动汽车

Abstract: In view of the uncertainty of the charging behavior of electric vehicle(EV)users, the electric vehicle charging schedule and control technology were analyzed, a model of regulation and optimization for electric vehicle charging load was built, a stratified multi-objective electric vehicle charging strategy considering time-of-use electricity price and peak load shifting was proposed, and a simulation experiment for scheduling control was implemented in charging scenario for 1 000 electric vehicles in a certain area. The results showed that the optimized charging strategy proposed in this study could effectively reduce the charging cost and charging power peak, and verify the effectiveness of the optimization strategy.

Key words: dispatch control strategies, electric vehicles, state of charge, charging requirements, load forecasting, power demand side

中图分类号: 

  • TM734
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