Reserve Service Strategy of Electric Vehicles Based on Double-incentive Mechanism

Junjie WANG; Yulong JIA; Zengqiang MI; Hairui CHEN; Hui FAN

doi:10.7500/AEPS20190826007

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Reserve Service Strategy of Electric Vehicles Based on Double-incentive Mechanism

Basic Research | 更新时间：2025-06-16

- Reserve Service Strategy of Electric Vehicles Based on Double-incentive Mechanism
- Automation of Electric Power Systems Vol. 44, Issue 10, Pages: 68-76(2020)
- 作者机构：
  
  1.新能源电力系统国家重点实验室（华北电力大学），河北省保定市 071003
  2.国网河北省电力有限公司，河北省石家庄市 050000
- 作者简介：
- 基金信息：
  
  National Key R&D Program of China;State Grid Corporation of China;the Fundamental Research Funds for the Central Universities
- DOI：10.7500/AEPS20190826007
  CLC：
- Received：26 August 2019，
  
  Revised：2019-11-29，
  
  Published Online：13 April 2020，
  
  Published：25 May 2020
- 稿件说明：
移动端阅览
王俊杰,贾雨龙,米增强等.基于双重激励机制的电动汽车备用服务策略[J].电力系统自动化,2020,44(10):68-76.

WANG Junjie,JIA Yulong,MI Zengqiang,et al.Reserve Service Strategy of Electric Vehicles Based on Double-incentive Mechanism[J].Automation of Electric Power Systems,2020,44(10):68-76.
王俊杰,贾雨龙,米增强等.基于双重激励机制的电动汽车备用服务策略[J].电力系统自动化,2020,44(10):68-76. DOI： 10.7500/AEPS20190826007.

WANG Junjie,JIA Yulong,MI Zengqiang,et al.Reserve Service Strategy of Electric Vehicles Based on Double-incentive Mechanism[J].Automation of Electric Power Systems,2020,44(10):68-76. DOI： 10.7500/AEPS20190826007.

摘要

为了提高电动汽车（EV）的备用服务能力，提出一种基于双重激励机制（DIM）的EV充/放电日前调度策略。在考虑EV放电模式的前提下，设计面向用户的双重激励机制和市场互动模式，提出半托管式的用户响应方式，并对该方式下用户响应状态的不确定性进行建模分析，采用随机规划方法建立响应双重激励的EV充/放电调度模型。基于上述模型，算例对比分析放电激励加入前后EV集群的备用服务能力。同时

通过对调控参数的灵敏度分析，研究充、放电激励价格和调度时间尺度等因素对EV集群备用服务能力的影响。

Abstract

To improve the reserve service capability of electric vehicle (EV)

this paper proposes a charging/discharging day-ahead scheduling strategy of EV based on the double-incentive mechanism. Firstly

a user-oriented double-incentive mechanism and market interaction mode considering the discharging mode of EV are designed. Then

a semi-managed user response mode is proposed. In this mode

the uncertainty of user response state is modeled and analyzed. A charging/discharging dispatching model of EV for responding the double-incentive is constructed by stochastic programming method. Based on the above models

the case study compares the reserve service capacities of EV with and without discharging incentive. Furthermore

the impact of some factors

such as charging and discharging incentive prices and dispatching time scale

on the reserve capacity of EV is analyzed through the sensitivity analysis of dispatching parameters.

关键词

Keywords

references

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