Charging and Discharging Dispatching Strategy for Electric Vehicles Considering Characteristics of Mobile Energy Storage

Zhong CHEN; Yi LIU; Xuan CHEN; Tao ZHOU; Qiang XING

doi:10.7500/AEPS20190114010

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Charging and Discharging Dispatching Strategy for Electric Vehicles Considering Characteristics of Mobile Energy Storage

Basic Research | 更新时间：2025-06-16

- Charging and Discharging Dispatching Strategy for Electric Vehicles Considering Characteristics of Mobile Energy Storage
- Automation of Electric Power Systems Vol. 44, Issue 2, Pages: 76-84(2020)
- 作者机构：
  
  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
- 作者简介：
- 基金信息：
  
  National Basic Research Program of China (973 Program);State Grid Corporation of China
- DOI：10.7500/AEPS20190114010
  CLC：
- Received：14 January 2019，
  
  Revised：2019-07-11，
  
  Published Online：21 October 2019，
  
  Published：25 January 2020
- 稿件说明：
移动端阅览
陈中,刘艺,陈轩等.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(02):76-84.

CHEN Zhong,LIU Yi,CHEN Xuan,et al.Charging and Discharging Dispatching Strategy for Electric Vehicles Considering Characteristics of Mobile Energy Storage[J].Automation of Electric Power Systems,2020,44(02):76-84.
陈中,刘艺,陈轩等.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(02):76-84. DOI： 10.7500/AEPS20190114010.

CHEN Zhong,LIU Yi,CHEN Xuan,et al.Charging and Discharging Dispatching Strategy for Electric Vehicles Considering Characteristics of Mobile Energy Storage[J].Automation of Electric Power Systems,2020,44(02):76-84. DOI： 10.7500/AEPS20190114010.

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。

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.

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references

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