系统仿真学报 ›› 2018, Vol. 30 ›› Issue (2): 731-739.doi: 10.16182/j.issn1004731x.joss.201802044

• 仿真应用工程 • 上一篇    下一篇

电动汽车换电站运营效益建模与分析

孙伟卿1, 陈顺风1, 刘通1, 吴小东2   

  1. 1.上海理工大学 光电信息与计算机工程学院,上海 200093;
    2.上海电器科学研究院,上海 200063
  • 收稿日期:2016-01-29 出版日期:2018-02-08 发布日期:2019-01-02
  • 作者简介:孙伟卿(1985-),男,博士,副教授,研究方向为电力系统优化控制与运行、智能电网;陈顺风(1990-),男,硕士生,研究方向为智能电网需求侧管理。
  • 基金资助:
    上海市科委青年科技英才“扬帆计划”研究项目(14YF1410100)

Modeling and Analysis of Operation Benefit for Electric Vehicle Battery Swapping Station

Sun Weiqing1, Chen Shunfeng1, Liu Tong1, Wu Xiaodong2   

  1. 1.School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;
    2.Shanghai Electrical Apparatus Research Institute (Group) Co., Ltd., Shanghai 200063, China
  • Received:2016-01-29 Online:2018-02-08 Published:2019-01-02

摘要: 电动汽车换电站运营方通过优化建模追求效益的最大化,但换电需求量等运营因素随时可能发生变化,这些因素的改变会对换电站最终的收益造成不同程度的影响。建立电动汽车换电站运营效益最大化的线性模型,通过灵敏度分析得出:对换电站而言,影响换电站效益的敏感参数主要为充换电服务费、电池折旧费、电网电价;对电网而言,影响换电站削峰填谷的敏感参数则是换电站内的总电池数和充电格位数。分析换电站内部设施投资的最优数量。此模型的建立及其分析能够为换电站商业化运营提供决策依据。

关键词: 电动汽车, 换电站, 线性优化, 灵敏度分析, 敏感参数

Abstract: The operators of electric vehicle battery swapping stations (EVBSS) seek the maximization of benefit by optimizing the modeling. The changes of operating parameters such as battery swapping demand could affect EVBSS benefits. A linear programming model for EVBSS maximum benefit is established. Based on the sensitivity analysis, it is found that the EVBSS benefit is mainly affected by operating parameters such as battery swapping price, battery depreciation cost, electricity price, etc. For power grid, the sensitivity parameters of peak load shifting are charging-pile number and battery number. The optimal quantity of EVBSS internal infrastructure investment is analyzed. The establishment and analysis of the model can provide the decision-making basis for commercial operation of EVBSS.

Key words: electric vehicle, battery swapping station, linear optimization, sensitivity analysis, sensitive parameter

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