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电动汽车换电站时序响应能力模型与充电计划制订策略
引用本文:刘洪,连恒辉,葛少云,张琨,唐翀,赵浛.电动汽车换电站时序响应能力模型与充电计划制订策略[J].电力系统自动化,2017,41(8):91-97.
作者姓名:刘洪  连恒辉  葛少云  张琨  唐翀  赵浛
作者单位:智能电网教育部重点实验室(天津大学), 天津市 300072,智能电网教育部重点实验室(天津大学), 天津市 300072,智能电网教育部重点实验室(天津大学), 天津市 300072,智能电网教育部重点实验室(天津大学), 天津市 300072,智能电网教育部重点实验室(天津大学), 天津市 300072,智能电网教育部重点实验室(天津大学), 天津市 300072
基金项目:国家自然科学基金资助项目(51477116)
摘    要:由于蓄电池具有良好的储能特性以及可控性,电动汽车换电站运营商在满足换电需求的前提下,可以响应电网企业的激励措施,达到系统运行的要求。首先,根据换电站内电池组的状态参量,建立电池组的状态矩阵;其次,将电池组进行状态分群,对其中处于可控状态的电池组实施控制;最后,运用递推的思想研究该换电站内备用电池组的可控负荷裕度带,进而指导换电站运营商根据电网企业的运行目标制订相应的充电计划,达到负荷平衡、改善区域负荷特性等目的。

关 键 词:电动汽车  换电模式  主动控制能力  充电计划
收稿时间:2016/6/13 0:00:00
修稿时间:2017/1/14 0:00:00

Timing Response Capability Model of Electric Vehicle Battery Swapping Station and Strategy Formulation of Charging Plan
LIU Hong,LIAN Henghui,GE Shaoyun,ZHANG Kun,TANG Chong and ZHAO Han.Timing Response Capability Model of Electric Vehicle Battery Swapping Station and Strategy Formulation of Charging Plan[J].Automation of Electric Power Systems,2017,41(8):91-97.
Authors:LIU Hong  LIAN Henghui  GE Shaoyun  ZHANG Kun  TANG Chong and ZHAO Han
Affiliation:Key Laboratory of Smart Grid of Ministry of Education(Tianjin University), Tianjin 300072, China,Key Laboratory of Smart Grid of Ministry of Education(Tianjin University), Tianjin 300072, China,Key Laboratory of Smart Grid of Ministry of Education(Tianjin University), Tianjin 300072, China,Key Laboratory of Smart Grid of Ministry of Education(Tianjin University), Tianjin 300072, China,Key Laboratory of Smart Grid of Ministry of Education(Tianjin University), Tianjin 300072, China and Key Laboratory of Smart Grid of Ministry of Education(Tianjin University), Tianjin 300072, China
Abstract:Because of the good storage characteristics and controllability of battery, in the premise of meeting the changing needs, the operators of battery swapping station for electric vehicles can respond to the incentive measures from the power dispatching department, and meet the system operating demands. Firstly, according to the state parameters of the battery packs in a battery swapping station, the state matrix of battery packs is established. Secondly, the battery packs clustered in the light of status, and the battery packs, which are in controllable state, are controlled. Finally, recursive thought is used to study controllable load margin boundaries of backup batteries in the battery swapping station, and then the battery swapping station operators are guided to draw up corresponding charging plans based on the operation target of power dispatching department, reaching the purpose of balancing load and improving area load characteristics. This work is supported by National Natural Science Foundation of China(No. 51477116).
Keywords:electric vehicle  battery swapping mode  initiative controllability  charging plan
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