Day-ahead Scheduling Strategy of Distribution Network Considering Electric Vehicle-to-Grid Auxiliary Service

Lili HAO; Guodong WANG; Hui WANG; Mei HUANG; Xiaoyi XU

doi:10.7500/AEPS20190911002

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Day-ahead Scheduling Strategy of Distribution Network Considering Electric Vehicle-to-Grid Auxiliary Service

Basic Research | 更新时间：2025-06-16

- Day-ahead Scheduling Strategy of Distribution Network Considering Electric Vehicle-to-Grid Auxiliary Service
- Automation of Electric Power Systems Vol. 44, Issue 14, Pages: 35-43(2020)
- 作者机构：
  
  1. 南京工业大学电气工程与控制科学学院，江苏省南京市 211816
  2. 国网江苏省电力有限公司南通供电公司，江苏省南通市 226006
- 作者简介：
- 基金信息：
  
  Six Talent Peaks Project in Jiangsu Province
- DOI：10.7500/AEPS20190911002
  CLC：
- Received：11 September 2019，
  
  Revised：2019-12-30，
  
  Published Online：08 July 2020，
  
  Published：25 July 2020
- 稿件说明：
移动端阅览
郝丽丽,王国栋,王辉等.考虑电动汽车入网辅助服务的配电网日前调度策略[J].电力系统自动化,2020,44(14):35-43.

HAO Lili,WANG Guodong,WANG Hui,et al.Day-ahead Scheduling Strategy of Distribution Network Considering Electric Vehicle-to-Grid Auxiliary Service[J].Automation of Electric Power Systems,2020,44(14):35-43.
郝丽丽,王国栋,王辉等.考虑电动汽车入网辅助服务的配电网日前调度策略[J].电力系统自动化,2020,44(14):35-43. DOI： 10.7500/AEPS20190911002.

HAO Lili,WANG Guodong,WANG Hui,et al.Day-ahead Scheduling Strategy of Distribution Network Considering Electric Vehicle-to-Grid Auxiliary Service[J].Automation of Electric Power Systems,2020,44(14):35-43. DOI： 10.7500/AEPS20190911002.

摘要

为避免大量电动汽车(EV)无序充电对电网安全、经济运行的影响，提出了基于电动汽车入网(V2G)辅助服务的配电网日前调度方法。首先，基于智能电网和物联网的历史及实时信息建立EV充放电模型，并进行EV辅助服务参与者的筛选和分类。其次，建立了考虑V2G辅助服务的 2层配电网最优经济调度模型。上层模型以网损成本、EV用户成本和系统总负荷均方差最小为目标，优化充电站的充放电功率和电压调节设备的工作状态；下层模型以EV的充放电状态转换次数最少和充电站功率与上层优化结果偏差最小为目标，计算每辆参与辅助服务EV的充放电功率。最后，算例系统仿真验证了所提方法的有效性。

Abstract

In order to avoid the impact of disordered charging of numerous electric vehicles (EVs) on secure and economic operation of power system

a day-ahead scheduling strategy of distribution network considering vehicle-to-grid (V2G) auxiliary service is proposed. Firstly

based on the history and real-time information of the smart grid and Internet of Things

the charging and discharging model of EVs is established

and the selection and classification of EV auxiliary service participants are carried out. Secondly

a bi-level optimal economic scheduling model of distribution network considering V2G auxiliary services is built. The upper level aims at minimizing grid loss cost

EV power cost and system load variance

and optimizes the charging and discharging power of the charging stations and the operating state of the voltage regulating equipment. The lower one is devoted to minimizing the switch time of EV charging and discharging state and the deviation between the charging station power and the upper optimization result

and figures out the charging and discharging power of each EV participant. Finally

the results of the example system verify the effectiveness of the proposed method.

关键词

Keywords

references

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