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“车-站-网”多元需求下的电动汽车快速充电引导策略
引用本文:邵尹池,穆云飞,林佳颖,王开让,巩宇. “车-站-网”多元需求下的电动汽车快速充电引导策略[J]. 电力系统自动化, 2019, 43(18): 60-66
作者姓名:邵尹池  穆云飞  林佳颖  王开让  巩宇
作者单位:国网冀北电力科学研究院(华北电力科学研究院有限责任公司),北京市,100045;智能电网教育部重点实验室(天津大学),天津市,300072;中国电力科学研究院有限公司,北京市,100192
基金项目:国家重点研发计划资助项目(2016YFB0900500);国家电网公司科技项目(52018K180004)
摘    要:提出一种面向电动汽车(车)、快速充电站(站)、配电网(网)多元需求的电动汽车快速充电引导策略。首先介绍了“车-站-网”协同模式下充电引导架构,并基于起讫点分析得出的快充需求分布结果,提出一种双层队列模型模拟快速充电站动态队列。然后,根据动态队列和节点电压约束下配电网快充负荷接纳能力,采用动态电价需求函数建立充电电价模型,以用户充电成本最小为目标引导用户选择快速充电站。最后,以某市部分主城区为例,对1 000辆具有快充需求的电动汽车在不同参与度下进行仿真。结果表明,所提充电引导策略能够在节约用户充电成本的同时,提高快速充电站的运营效率,保证配电网的运行安全。

关 键 词:电动汽车  充电需求  充电引导  电价刺激  配电网
收稿时间:2018-11-27
修稿时间:2019-03-29

Fast Charging Guidance Strategy for Multiple Demands of Electric Vehicle, Fast Charging Station and Distribution Network
SHAO Yinchi,MU Yunfei,LIN Jiaying,WANG Kairang and GONG Yu. Fast Charging Guidance Strategy for Multiple Demands of Electric Vehicle, Fast Charging Station and Distribution Network[J]. Automation of Electric Power Systems, 2019, 43(18): 60-66
Authors:SHAO Yinchi  MU Yunfei  LIN Jiaying  WANG Kairang  GONG Yu
Affiliation:State Grid Jibei Electric Power Research Institute(North China Electric Power Research Institute Co., Ltd.), Beijing 100045, China,Key Laboratory of the Ministry of Education on Smart Power Grids(Tianjin University), Tianjin 300072, China,China Electric Power Research Institute, Beijing 100192, China,State Grid Jibei Electric Power Research Institute(North China Electric Power Research Institute Co., Ltd.), Beijing 100045, China and State Grid Jibei Electric Power Research Institute(North China Electric Power Research Institute Co., Ltd.), Beijing 100045, China
Abstract:A fast charging guidance strategy for multiple demands of the electric vehicles(EVs), fast charging stations(FCSs)and the distribution network is proposed. Firstly, a charging guidance architecture in electric vehicle, fast charging station and distribution network cooperation mode is introduced. Then, based on the distribution result of fast charging demand by origin destination(OD)analysis, a double-layer queue model is proposed to simulate the dynamic queue of FCSs. Secondly, according to the dynamic queue and charging load receptivity under the constrain of node voltage in distribution network, a charging price model is built by adapting the demand function of dynamic electricity price to guide the user to choose the FCSs with the goal of minimizing the charging cost. Finally, taking main urban areas of a city as an example, simulation is conducted under different participations of 1 000 EVs with fast charging demand. The result shows that proposed charging guidance strategy can not only save the charging cost of users, but also improve the operation efficiency of FCSs and ensure the safety operation of distribution network.
Keywords:electric vehicles(EVs)   charging demand   charging guidance   electricity price stimulation   distribution network
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