考虑电动汽车入网辅助服务的配电网日前调度策略

郝丽丽; 王国栋; 王辉; 黄梅; 徐晓轶

doi:10.7500/AEPS20190911002

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考虑电动汽车入网辅助服务的配电网日前调度策略

学术研究 | 更新时间：2025-06-16

- 考虑电动汽车入网辅助服务的配电网日前调度策略
- Day-ahead Scheduling Strategy of Distribution Network Considering Electric Vehicle-to-Grid Auxiliary Service
- 电力系统自动化-方正平台 2020年44卷第14期页码：35-43
- 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：
  
  郝丽丽(1979—)，女，博士，副教授，硕士生导师，主要研究方向：电力系统安全稳定控制。E-mail：lili_hao@163.com
  王国栋(1996—)，男，通信作者，硕士研究生，主要研究方向：电力系统优化运行与控制。E-mail：240265497@qq.com
  王辉(1994—)，男，硕士，主要研究方向：智能配电网。E-mail：992641749@qq.com
- 基金信息：
  
  江苏省“六大人才高峰”项目资助(XNY-020)
- DOI：10.7500/AEPS20190911002
  中图分类号：
- 收稿日期：2019-09-11，
  
  修回日期：2019-12-30，
  
  网络出版日期：2020-07-08，
  
  纸质出版日期：2020-07-25
- 稿件说明：
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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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