Microgrid Island Operation Strategy Based on EV Aggregated Charge and Discharge Support

张志远; 武永军; 李熙钦; 张靓; 聂珍存; 马静

doi:10.19725/j.cnki.1007-2322.2023.0369

English Version Reader LoginJournal Login

您当前的位置：

首页 >

文章列表页 >

Microgrid Island Operation Strategy Based on EV Aggregated Charge and Discharge Support

更新时间：2026-02-02

- Microgrid Island Operation Strategy Based on EV Aggregated Charge and Discharge Support
- Vol. 43, Issue 1, Pages: 138-148(2026)
- 作者机构：
  
  1. 国网北京市电力公司门头沟供电公司, 北京市门头沟区,102300
  2. 新能源电力系统国家重点实验室(华北电力大学), 北京市昌平区,102206
- 作者简介：
- 基金信息：
- DOI：10.19725/j.cnki.1007-2322.2023.0369
  CLC： 1
- Published：2026
- 稿件说明：
移动端阅览
张志远, 武永军, 李熙钦, et al. Microgrid Island Operation Strategy Based on EV Aggregated Charge and Discharge Support[J]. 2026, 43(1): 138-148.
DOI：

张志远, 武永军, 李熙钦, et al. Microgrid Island Operation Strategy Based on EV Aggregated Charge and Discharge Support[J]. 2026, 43(1): 138-148. DOI： 10.19725/j.cnki.1007-2322.2023.0369.

摘要

电动汽车在时空维度上的不确定性，给微网孤岛调度运行带来严峻挑战。针对该问题，从孤岛负荷恢复角度出发，提出一种基于电动汽车聚合充放电支撑的微网孤岛运行策略。首先，通过分析动态交通流模型，建立考虑出行需求和交通流时变下的电动汽车聚合功率控制模型，并基于蒙特卡洛方法刻画电动汽车功率边界。然后，利用置信度模型考虑风光机组出力和负荷不确定性，建立以恢复负荷价值与电动汽车离网荷电量最大为目标的孤岛恢复模型，并进行优化求解。最后，通过改进的公路微网系统进行验证，结果表明该方法能够在保证负荷恢复量的同时，提升电动汽车离网荷电量，显著增强微网孤岛运行弹性和供电支撑能力。

Abstract

The temporal and spatial uncertainties associated with electric vehicles (EVs) bring severe challenges to the island dispatching operation of microgrids. To address this issue

in this paper we propose a microgrid island operation strategy based on EV aggregated charge and discharge support from the perspective of island load recovery. Firstly

an EV aggregated power control model is established by analyzing the dynamic traffic flow model

considering time-varying travel demand and traffic flow. In addition

the power boundary of EV is analyzed based on Monte Carlo method. After that

the island recovery model is established by considering the uncertainty of the wind turbine output and load of the confidence model

so as to restore the load value and the maximum of the EV off-grid and power. Subsequently

the optimization solution is implemented. The improved highway microgrid system is ultimately employed for verification. The results indicate that the proposed optimal scheduling strategy can guarantee the load recovery amount

increase the off-grid charge of EVs

and significantly enhance the operation elasticity and power supply support capability of microgrid islands.

关键词

Keywords

references

WEI Chunxia, LIN Weifang, ZHOU Zhuan, et al . Analysis of the impact of user-side energy storage and electric vehicle self-generation response characteristics on a grid with high proportion of new energy sources[J ] . High Voltage Technology, 2023, 49(S1): 231−238(in Chinese).

魏春霞, 林伟芳, 周专, 等. 用户侧储能和电动汽车自发响应特性对含高比例新能源电网影响分析[J]. 高电压技术, 2023, 49(S1): 231−238.

ZHAO Junhua, WEN Fusan, YANG Aimin, et al . Impacts of electric vehicles on power systems as well as the associated dispatching and control problem[J ] . Automation of Electric Power Systems, 2011, 35(14): 2−10(in Chinese).

赵俊华, 文福拴, 杨爱民, 等. 电动汽车对电力系统的影响及其调度与控制问题[J]. 电力系统自动化, 2011, 35(14): 2−10.

CHAE S H, KIM G H, CHOI Y J, et al . Design of isolated microgrid system considering controllable EV charging demand[J ] . Sustainability, 2020, 12(22): 1-14.

TANG Jia, GAO Shuang, WANG Dan, et al . A hierarchical control algorithm for aggregated electric vehicles in distribution networks[J ] . Electric Power Construction, 2015, 36(7): 146−152(in Chinese).

唐佳, 高爽, 王丹, 等. 入网电动汽车集群的分层控制方法[J]. 电力建设, 2015, 36(7): 146−152.

LIN Lin, SUN Xinfeng, WANG Xinna. Research on orderly charge and discharge models for electric vehicles[J]. Electrical Automation, 2018, 40(3): 11−14(in Chinese).

林琳, 孙新凤, 王新娜. 电动汽车有序充放电模型研究[J]. 电气自动化, 2018, 40(3): 11−14.

CHENG Shan, ZHONG Shiling, SHANG Dongdong, et al . Dynamic reconfiguration of an active distribution network considering temporal and spatial load distribution characteristics of electric vehicles[J ] . Power System Protection and Control, 2022, 50(17): 1−13(in Chinese).

程杉, 钟仕凌, 尚冬冬, 等. 考虑电动汽车时空负荷分布特性的主动配电网动态重构[J]. 电力系统保护与控制, 2022, 50(17): 1−13.

CHENG Shan, WANG Yeqiao, LIAO Weilin, et al . Bi-level multi-objective optimization of a new energy microgrid with electric vehicles[J ] . Power System Protection and Control, 2022, 50(12): 63−71(in Chinese).

程杉, 汪业乔, 廖玮霖, 等. 含电动汽车的新能源微电网多目标分层优化调度[J]. 电力系统保护与控制, 2022, 50(12): 63−71.

ABI-SAMRA N, MCCONNACH J, MUKHOPADHYAY S, et al . When the bough breaks: Managing extreme weather events affecting electrical power grids[J ] . IEEE Power and Energy Magazine, 2014, 12(5): 61−65.

LIU Weijia, SUN Lei, LIN Zhenzhi, et al . Short-period restoration strategy in isolated electrical islands with intermittent energy sources, energy storage systems and electric vehicles[J ] . Automation of Electric Power Systems, 2015, 39(16): 49−58(in Chinese).

刘伟佳, 孙磊, 林振智, 等. 含间歇电源、储能和电动汽车的配电孤岛短时恢复供电策略[J]. 电力系统自动化, 2015, 39(16): 49−58.

PENG Liuyang, SUN Yuanzhang, XU Jian, et al . Self-adaptive uncertainty economic dispatch based on deep reinforcement learning[J ] . Automation of Electric Power Systems, 2020, 44(9): 33-42(in Chinese).

彭刘阳, 孙元章, 徐箭, 等. 基于深度强化学习的自适应不确定性经济调度[J]. 电力系统自动化, 2020, 44(9): 33-42.

QIAN Zhonghao, JIANG Zhihui, WU Qian, et al . Coordinated optimization of distributed power Supply and electric vehicle charging station considering uncertainty factors[J ] . Electric Power Engineering Technology, 2021, 40(1): 131−137(in Chinese).

钱仲豪, 江志辉, 吴茜, 等. 计及不确定性因素的分布式电源与电动汽车充电站协调优化[J]. 电力工程技术, 2021, 40(1): 131−137.

ZHOU Chenrui, SHENG Guangzong, LI Sheng. Multi-objective optimal dispatching of microgrid considering electric vehicle integration[J]. Journal of Electrical Engineering, 2023, 18(1): 211−218(in Chinese).

周晨瑞, 盛光宗, 李升. 考虑电动汽车接入的微电网多目标优化调度[J]. 电气工程学报, 2023, 18(1): 211−218.

WANG Menghan, JIANG Quanyuan. Bi-level scheduling strategy for electric vehicles oriented to distribution network flexibility[J]. Energy Engineering, 2022, 42(4): 87−94(in Chinese).

王梦涵, 江全元. 面向配电网灵活性的电动汽车充放电控制策略研究[J]. 能源工程, 2022, 42(4): 87−94.

CHENG S, CHEN M Y. Multi-objective reactive power optimization strategy for distribution system with penetration of distributed generation[J]. International Journal of Electrical Power Energy Systems, 2014, 62: 221−228.

WU Hongbin, HOU Xiaofan, ZHAO Bo, et al . Economical dispatch of microgrid considering plug-in electric vehicle[J ] . Automation of Electric Power Systems, 2014, 38(9): 77−84(in Chinese).

吴红斌, 侯小凡, 赵波, 等. 计及可入网电动汽车的微网系统经济调度[J]. 电力系统自动化, 2014, 38(9): 77−84.

CHEN Wei, ZHOU Xianzheng, LI Yanjun, et al . Robust island recovery of active distribution network considering electric vehicle configuration[J ] . Proceedings of the CSEE, 2018, 38(S1): 58−67(in Chinese).

陈玮, 周贤正, 李晏君, 等. 考虑电动汽车配置的主动配电网鲁棒孤岛恢复[J]. 中国电机工程学报, 2018, 38(S1): 58−67.

WANG Ting, CHEN Chen, XIE Haipeng. Review on evaluation and promotion methods of carrying capacity for distributed generation and electric vehicles in distribution network[J]. Electric Power Construction, 2012, 43(9): 12-24(in Chinese).

王婷, 陈晨, 谢海鹏. 配电网对分布式电源和电动汽车的承载力评估及提升方法综述[J]. 电力建设, 2022, 43(9): 12-24.

WU Jiechen, AI Xin, HU Junjie. Methods for characterizing flexibilities from demand-side resources and their applications in the day-ahead optimal scheduling[J]. Transaction of China Electrotechnical Society, 2020, 35(9): 1973−1984(in Chinese).

吴界辰, 艾欣, 胡俊杰. 需求侧资源灵活性刻画及其在日前优化调度中的应用[J]. 电工技术学报, 2020, 35(9): 1973−1984.

JIANG Congyang. Electric vehicle charging station customer satisfaction factors and user characteristics exploration[J]. Statistics and Management, 2022, 37(8): 31−38(in Chinese).

蒋丛阳. 电动汽车充电站用户满意度因素和用户特征探究[J]. 统计与管理, 2022, 37(8): 31−38.

MA Jing, HUANG Weibo, NIE Zhencun, et al . Elastic recovery strategy of island micro-network based on rapid adjustment of new energy[J ] . Power System Technology, 2024, 48(3): 1103−1113(in Chinese).

马静, 黄韦博, 聂珍存, 等. 基于新能源快速调节的孤岛微网弹性恢复策略[J]. 电网技术, 2024, 48(3): 1103−1113.

BLUDSZUWEIT H, DOMINGUEZ-NAVARRO J A, LLOMBART A. Statistical analysis of wind power forecast error[J]. IEEE Transactions on Power Systems, 2008, 23(3): 983−991.

ZHANG Bo, LIU Shengyuan, LIN Zhenzhi et al . Distribution network reconfiguration with high penetration of renewable energy considering demand response and soft open point[J ] . Automation of Electric Power Systems, 2021, 45(8): 86-94(in Chinese).

章博, 刘晟源, 林振智, 等. 高比例新能源下考虑需求侧响应和智能软开关的配电网重构[J]. 电力系统自动化, 2021, 45(8): 86-94.

GE Shaoyun, ZHANG Chenghao, LIU Hong, et al . Resilience enhancement strategy for distribution network considering supporting role of micro energy grid[J ] . Power System Technology, 2019, 43(7): 2306−2317(in Chinese).

葛少云, 张成昊, 刘洪, 等. 考虑微能源网支撑作用的配电网弹性提升策略[J]. 电网技术, 2019, 43(7): 2306−2317.

BARAN M E, WU F F. Network reconfiguration in distribution systems for loss reduction and load balancing[J]. IEEE Transactions on Power delivery, 1989, 4(2): 1401−1407.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Frequency Regulation Strategy of EV Aggregator Considering Various User Requirements

Estimation of Electric Vehicle Schedulable Capacity Considering Vehicle-road-station Interaction and Users’ Bounded Rationality

Two-stage Optimal Dispatching of Active Distribution Network Considering Electric Vehicles Carbon Trading

Research of DC Microgrid Based on Sustainable Building and Plug\|in Electric and Hybrid Vehicles

Related Author

Yi PAN

Huiyu MIAO

Huachun HAN

Fei ZENG

Xiaodong YUAN

Mingshen WANG

艾欣

孙雪

Related Institution

Electric Power Research Institute, State Grid Jiangsu Electric Power Co., Ltd.

国网黑龙江省电力有限公司经济技术研究院

华北电力大学电气与电子工程学院, 北京市昌平区

School of Electrical and Electronic Engineering, North China Electric Power University,Changping District

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources(North China Electric Power University)

AI问答

⁰