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考虑移动储能特性的电动汽车充放电调度策略
引用本文:陈中,刘艺,陈轩,周涛,邢强.考虑移动储能特性的电动汽车充放电调度策略[J].电力系统自动化,2020,44(2):76-84.
作者姓名:陈中  刘艺  陈轩  周涛  邢强
作者单位:1.东南大学电气工程学院,江苏省南京市 210096;2.江苏省智能电网技术与装备重点实验室,东南大学,江苏省南京市 210096;3.国网江苏省电力有限公司检修分公司,江苏省南京市 211106
基金项目:国家重点基础研究发展计划(973计划)资助项目 2016YFB0101800;国家电网公司总部科技项目 SGTYHT/17-JS-201国家重点基础研究发展计划(973计划)资助项目(2016YFB0101800);国家电网公司总部科技项目(SGTYHT/17-JS-201)。
摘    要:电动汽车作为一种分布式储能,具备与电网互动的能力,其最大的特点是移动性。基于停车生成率思想对电动汽车移动储能特性展开分析,建立电动汽车移动储能模型,以网格化区域为单位描述电动汽车的移动行为。以最小化电网负荷波动为优化目标,计及电网潮流约束、电池性能约束、车主需求约束和车辆移动性约束,提出了电动汽车移动储能与可再生能源协同参与电动汽车与电网互动策略。算例对于不同移动特性、不同电动汽车规模2种场景进行仿真,表征了移动储能特性对策略的影响,验证了模型和策略的有效性。

关 键 词:电动汽车  移动储能  停车生成率  可再生能源  电动汽车与电网互动  调度策略
收稿时间:2019/1/14 0:00:00
修稿时间:2019/7/11 0:00:00

Charging and Discharging Dispatching Strategy for Electric Vehicles Considering Characteristics of Mobile Energy Storage
CHEN Zhong,LIU Yi,CHEN Xuan,ZHOU Tao,XING Qiang.Charging and Discharging Dispatching Strategy for Electric Vehicles Considering Characteristics of Mobile Energy Storage[J].Automation of Electric Power Systems,2020,44(2):76-84.
Authors:CHEN Zhong  LIU Yi  CHEN Xuan  ZHOU Tao  XING Qiang
Affiliation:1.School of Electrical Engineering, Southeast University, Nanjing 210096, China;2.Jiangsu Provincial Key Laboratory of Smart Grid Technology and Equipment, Southeast University, Nanjing 210096, China;3.Maintenance Branch Company of State Grid Jiangsu Electric Power Co., Ltd., Nanjing 211106, China
Abstract:Electric vehicle (EV) has the ability to participate in interaction with power grid as a kind of new distributed energy storage and its most distinct characteristic is its mobility. This paper investigates the characteristics of mobile energy storage and develops the mobile storage model of EV based on the theory of parking generation rate. The mobile behavior of EV is described by taking gridded region as a unit. A synergy vehicle-to-grid (V2G) strategy for mobile energy storage of EV and renewable energy is proposed with the minimum load fluctuation of power gird as its optimization objective, which considers the constraints of power flow, battery performance, owner demands and EV mobility. Finally, case study is conducted in two different scenarios including different mobile characteristics and the scales of EVs. The simulation results show the influence of characteristics of mobility energy storage on the proposed strategy and validates the feasibility of the proposed model and strategy.
Keywords:electric vehicle  mobile energy storage  parking generation rate  renewable energy  vehicle-to-grid (V2G)  dispatching strategy
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