考虑移动储能配置和调度的配电网抗灾能力提升策略

doi:10.11930/j.issn.1004-9649.202502064

中国电力 ›› 2025, Vol. 58 ›› Issue (9): 10-22.DOI: 10.11930/j.issn.1004-9649.202502064

• 提升新能源和新型并网主体涉网安全能力关键技术 • 上一篇下一篇

考虑移动储能配置和调度的配电网抗灾能力提升策略

刘永梅¹(), 吴鸣¹(), 李瑛²(), 原于淇³(), 席嫣娜²(), 赵凤展³()

1. 国网上海能源互联网研究院有限公司，上海　201210
2. 国网北京市电力公司，北京　100031
3. 中国农业大学信息与电气工程学院，北京　100083

收稿日期:2025-02-27 发布日期:2025-09-26 出版日期:2025-09-28
作者简介:
刘永梅（1978），女，博士，高级工程师（教授级），从事配电优化运行控制、配电自动化研究，E-mail：liuym@epri.sgcc.com.cn
吴鸣（1981），男，博士，高级工程师（教授级），从事综合能源、微电网与新型电力系统研究，E-mail：wuming@epri.sgcc.com.cn
李瑛（1973），男，高级工程师（教授级），从事电网规划、安全运行、韧性电网、以电测碳、人工智能技术应用等研究，E-mail：liy@bj.sgcc.com.cn
原于淇（2001），男，硕士研究生，从事配电网韧性评估与规划研究，E-mail：s20233081738@cau.edu.cn
席嫣娜（1992），女，博士，工程师，从事电力技术与大数据应用研究，E-mail：xiyanna@163.com
赵凤展（1971），女，通信作者，博士，副教授，从事新型配电系统分析、规划与优化控制研究，E-mail：zhaofz@cau.edu.cn
基金资助:
国家电网有限公司科技项目（5400-202411192A-1-1-ZN）。

Disaster Resistance Enhancement Strategies for Distribution Networks Considering Configuration and Scheduling of Mobile Energy Storage

LIU Yongmei¹(), WU Ming¹(), LI Ying²(), YUAN Yuqi³(), XI Yanna²(), ZHAO Fengzhan³()

1. State Grid Shanghai Energy Interconnection Research Institute Co., Ltd., Shanghai 201210, China
2. State Grid Beijing Power Supply Company, Beijing 100031, China
3. College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China

Received:2025-02-27 Online:2025-09-26 Published:2025-09-28
Supported by:
This work is supported by Science and Technology Project of SGCC (No.5400-202411192A-1-1-ZN).

摘要/Abstract

摘要：

为了降低高比例光伏接入对供电电能质量的影响和提高极端灾害发生时的供电保障能力，更具灵活性和经济性的移动储能是提升配电网抗灾能力的有效措施之一。根据高比例光伏接入场景下配电网在灾害发生后对移动储能的需求，构建了计及经济性、脆弱性和移动储能容量3个方面的移动储能配置多目标优化模型，并在极端灾害场景下提出了基于可分离移动储能初始位置布置和应急响应调度的两阶段弹性提升优化调度模型，通过调度控制可分离移动储能的接入位置和充放电功率，实现极端灾害下的供电应急恢复，并提高移动储能在平时和灾时的复用价值，最后通过算例验证了所提方法的有效性。

关键词: 移动储能, 配置, 预布置, 故障恢复, 弹性和抗灾能力提升

Abstract:

To mitigate the impact of high-penetration photovoltaic (PV) integration on power quality and enhance the reliability of power supply under extreme disasters, mobile energy storage (MES) with its greater flexibility and cost-effectiveness has been identified as one of the effective measures to improve the disaster resistance of distribution networks. This paper proposes a multi-objective optimization model for determining the configuration of MES under high-penetration PV integration scenarios, considering three key aspects including economic efficiency, vulnerability and MES capacity. Additionally, a two-stage resilience-enhancing optimization and scheduling model is developed for extreme disaster scenarios, which incorporates the initial deployment of separable MES and their emergency response dispatch. By dynamically scheduling the access locations and charge-discharge power of the separable MES, the proposed method ensures emergency power restoration under extreme disasters while maximizing the reuse value of MES during both normal and disaster conditions. Finally, case studies validate the effectiveness of the proposed method.

Key words: mobile energy storage, configuration, pre-deployment, fault recovery, resilience and disaster resistance enhancement

刘永梅, 吴鸣, 李瑛, 原于淇, 席嫣娜, 赵凤展. 考虑移动储能配置和调度的配电网抗灾能力提升策略[J]. 中国电力, 2025, 58(9): 10-22.

LIU Yongmei, WU Ming, LI Ying, YUAN Yuqi, XI Yanna, ZHAO Fengzhan. Disaster Resistance Enhancement Strategies for Distribution Networks Considering Configuration and Scheduling of Mobile Energy Storage[J]. Electric Power, 2025, 58(9): 10-22.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202502064

https://www.electricpower.com.cn/CN/Y2025/V58/I9/10

图/表 15

图 1 移动储能配置与调度策略流程

Fig.1 Process of MES configuration and scheduling strategies

图 2 移动储能优化配置策略

Fig.2 Optimization configuration strategies for MES

图 3 极端灾害前后两阶段移动储能调度模型

Fig.3 Two-stage MES scheduling model before and after extreme disasters

图 4 配电网交通网格示意

Fig.4 Traffic grid schematic diagram of the distribution network

图 5 接入分布式光伏的IEEE 33系统拓扑

Fig.5 Topology diagram of the IEEE 33 system with distributed PV integration

图 6 光伏发电预测出力

Fig.6 Predicted output of PV

表 1 不同场景的移动储能优化配置结果

Table 1 Optimized configuration results of MES in different scenarios

参数	场景
参数	1	2	3
移动储能峰谷套利C₁/万元		2347.52	2407.77
电网缓建收益补贴C₂/万元		91.28	94.20
移动储能投资成本C₃/万元		1115	1145
移动储能运行成本C₄/万元		10.48	11.77
移动储能投资总效益f₁/万元		1313.32	1345.20
配电网脆弱性f₂	0.3220	0.2640	0.2250
移动储能总容量f₃/(MW·h)		3.725	3.955
移动储能模块投资数量n_MES/块		4	4
移动储能模车投资数量n_CAR/辆		2	2

图 7 IEEE 33节点系统故障情况

Fig.7 Fault conditions of the IEEE 33-bus system

图 8 负荷有功功率预测曲线

Fig.8 Load active power prediction curve

表 2 灾前初始位置调度方案对比

Table 2 Comparison of scheduling schemes for initial positions before a disaster

方案	移动储能车初始位置	开断支路	总成本/元
1	节点1、1	1-4、7-8、9-11、12-13、 14-16、29-30、31-32	3454
2	节点23、24	1-4、7-8、9-11、12-13、 14-16、29-30、31-32	3243

图 9 配电网孤岛拓扑结构

Fig.9 Islanding topology structure of the distribution network

图 10 MES充放电功率和荷电状态

Fig.10 Charge-discharge power and state of charge of the MES

图 11 移动储能调度过程

Fig.11 The scheduling process of MES

图 12 各时段负荷恢复比例和失负荷功率

Fig.12 Load recovery proportion and lost - load power in each time period

表 3 3种方案的配电网弹性提升效果分析

Table 3 Analysis of distribution network resilience enhancement strategies for three schemes

抗灾能力指标	方案
抗灾能力指标	1	2	3
负荷削减成本/元	6555	3802	2708
重要负荷恢复速度/(kW·h^–1)	108.81	110.65	111.38
重要负荷恢复率/%	97.29	98.93	99.59
负荷恢复率/%	87.42	91.08	92.62

参考文献 33

1	国家发展改革委国家能源局. 关于新形势下配电网高质量发展的指导意见[EB/OL]. (2024-03-01)[2025-02-10]. https://www.ndrc.gov.cn/xxgk/zcfb/tz/202403/t20240301_1364313.html.
2	国家能源局. 关于印发《配电网高质量发展行动实施方案(2024-2027年)》的通知[EB/OL]. (2024-08-02)[2025-02-10]. https://zfxxgk.nea.gov.cn/ 2024 -08/02/c_1310784260.htm.
3	祝士焱, 许寅, 和敬涵, 等. 基于多微电网投影的配电系统协调恢复方法[J]. 中国电力, 2024, 57 (9): 224- 230.
	ZHU Shiyan, XU Yin, HE Jinghan, et al. A restoration method for distribution system based on projection of multiple microgrids[J]. Electric Power, 2024, 57 (9): 224- 230.
4	沈建良, 蒋建杰, 楼平, 等. 基于过程分解的电网弹性综合评估方法研究[J]. 电力科学与技术学报, 2023, 38 (5): 226- 235.
	SHEN Jianliang, JIANG Jianjie, LOU Ping, et al. Research on comprehensive evaluation method of power system resiliencebased on process decomposition[J]. Journal of Electric Power Science and Technology, 2023, 38 (5): 226- 235.
5	葛延峰, 邱雨, 张云旭, 等. 计及多种灵活性资源的园区智能配电网灾时弹性提升策略[J]. 电力系统保护与控制, 2024, 52 (17): 139- 149.
	GE Yanfeng, QIU Yu, ZHANG Yunxu, et al. Disaster resilience enhancement strategy of an intelligent distribution networkin parks considering a variety of flexibility resources[J]. Power System Protection and Control, 2024, 52 (17): 139- 149.
6	赖业宁, 孙仲卿, 陆志平, 等. 考虑储能资源聚合参与的电网优化运行与韧性提升策略[J]. 中国电力, 2025, 58 (2): 57- 65.
	LAI Yening, SUN Zhongqing, LU Zhiping, et al. Power grid optimization operation and resilience improvement strategy considering the participation of energy storage resource aggregation[J]. Electric Power, 2025, 58 (2): 57- 65.
7	NAZEMI M, MOEINI-AGHTAIE M, FOTUHI-FIRUZABAD M, et al. Energy storage planning for enhanced resilience of power distribution networks against earthquakes[J]. IEEE Transactions on Sustainable Energy, 2020, 11 (2): 795- 806. DOI
8	杨白洁, 刘洪, 葛少云, 等. 基于分布鲁棒机会约束的高韧性配电网多类型储能配置[J]. 电力自动化设备, 2024, 44 (7): 45- 53.
	YANG Baijie, LIU Hong, GE Shaoyun, et al. Configuration of multi-type energy storage system in high resilience distribution network based on distributionally robust chance constraints[J]. Electric Power Automation Equipment, 2024, 44 (7): 45- 53.
9	陈韵含, 许寅, 王颖, 等. 考虑潜在恢复需求的城市配电网移动应急资源灾前布点[J]. 电力系统自动化, 2023, 47 (14): 105- 113.
	CHEN Yunhan, XU Yin, WANG Ying, et al. Pre-disaster positioning of mobile emergency resources for urban distribution network considering potential restoration demand[J]. Automation of Electric Power Systems, 2023, 47 (14): 105- 113.
10	巨云涛, 周伟鹏, 于宗民. 考虑移动储能车提升系统供电可靠性的配电网规划方法[J]. 电力系统保护与控制, 2024, 52 (17): 128- 138.
	JU Yuntao, ZHOU Weipeng, YU Zongmin. A distribution network planning approach considering mobile energy storage vehicles toenhance system power supply reliability[J]. Power System Protection and Control, 2024, 52 (17): 128- 138.
11	徐晓春, 随权, 黄涛, 等. 含混合移动储能的灾后配电网电冷负荷保障策略[J]. 电力自动化设备, 2023, 43 (8): 63- 70.
	XU Xiaochun, SUI Quan, HUANG Tao, et al. Electric-cold load guarantee strategy of post-disaster distribution network with hybrid mobile energy storages[J]. Electric Power Automation Equipment, 2023, 43 (8): 63- 70.
12	任郡枝, 陈健, 姜心怡, 等. 考虑可移动式储能与网络重构的弹性配电网灾后恢复策略[J]. 电力建设, 2020, 41 (3): 86- 92.
	REN Junzhi, CHEN Jian, JIANG Xinyi, et al. Post-disaster recovery strategy of resilient distribution network considering mobile energy storage system and network reconfiguration[J]. Electric Power Construction, 2020, 41 (3): 86- 92.
13	王子铮, 陈宇佳, 邵力拓, 等. 考虑移动储能和智能软开关的配电网多时间尺度协同调度[J]. 供用电, 2024, 41 (7): 39- 48.
	WANG Zizheng, CHEN Yujia, SHAO Lituo, et al. Multi-time scale collaborative scheduling of distribution networks considering mobile energy storage and soft open point[J]. Distribution & Utilization, 2024, 41 (7): 39- 48.
14	徐晶, 赵亮, 张梁, 等. 考虑移动储能接入的柔性配电网运行优化策略[J]. 中国电力, 2023, 56 (9): 112- 119.
	XU Jing, ZHAO Liang, ZHANG Liang, et al. Operation optimization method for flexible distribution network considering the integration of mobile energy storage[J]. Electric Power, 2023, 56 (9): 112- 119.
15	王伟, 何雨霏, 谢开贵, 等. 面向电网灾后恢复过程的移动应急资源分体式调度方法[J]. 中国电机工程学报, 2024, 44 (8): 3046- 3059.
	WANG Wei, HE Yufei, XIE Kaigui, et al. Component-separating scheduling method of mobile emergency resources oriented to post-disaster restoration of power system[J]. Proceedings of the CSEE, 2024, 44 (8): 3046- 3059.
16	王笑雪, 迟林林, 陈海文. 考虑移动储能的风雨灾害配电网弹性提升方法[J]. 电力系统及其自动化学报, 2024, 36 (5): 69- 79, 89.
	WANG Xiaoxue, CHI Linlin, CHEN Haiwen. Distribution network resilience enhancement method considering mobile energy storage under typhoon and storm disasters[J]. Proceedings of the CSU-EPSA, 2024, 36 (5): 69- 79, 89.
17	王钰山, 邓晖, 王旭, 等. 考虑台风时空演变的配电网移动储能优化配置与运行策略[J]. 电力系统自动化, 2022, 46 (9): 42- 51.
	WANG Yushan, DENG Hui, WANG Xu, et al. Optimal configuration and operation strategy of mobile energy storage in distribution network considering spatial-temporal evolution of typhoon[J]. Automation of Electric Power Systems, 2022, 46 (9): 42- 51.
18	YAO S H, WANG P, LIU X C, et al. Rolling optimization of mobile energy storage fleets for resilient service restoration[J]. IEEE Transactions on Smart Grid, 2020, 11 (2): 1030- 1043. DOI
19	孙伟卿, 刘唯, 张婕. 高比例可再生能源背景下配电网动态重构与移动储能协同优化[J]. 电力系统自动化, 2021, 45 (19): 80- 90.
	SUN Weiqing, LIU Wei, ZHANG Jie. Collaborative optimization for dynamic reconfiguration of distribution network and mobile energy storage in background of high proportion of renewable energy[J]. Automation of Electric Power Systems, 2021, 45 (19): 80- 90.
20	翁晓勇, 谭阳红. 考虑移动储能有功时空支撑的不对称配电网负荷恢复策略[J]. 电网技术, 2021, 45 (04): 1463- 1470.
	WENG Xiaoyong, TAN Yanghong. Load restoration strategy for unbalanced distribution network considering active power temporal-spatial supporting of mobile energy storage[J]. Power System Technology, 2021, 45 (04): 1463- 1470.
21	NAZEMI M, DEHGHANIAN P, LU X N, et al. Uncertainty-aware deployment of mobile energy storage systems for distribution grid resilience[J]. IEEE Transactions on Smart Grid, 2021, 12 (4): 3200- 3214. DOI
22	SHI W L, LIANG H, BITTNER M. Stochastic planning for power distribution system resilience enhancement against earthquakes considering mobile energy resources[J]. IEEE Transactions on Sustainable Energy, 2024, 15 (1): 414- 428. DOI
23	祝昊, 付炜, 谢海鹏, 等. 考虑元件故障位置不确定性的维修队预调度与灾后派遣方法[J]. 电力自动化设备, 2024, 44 (6): 161- 168.
	ZHU Hao, FU Wei, XIE Haipeng, et al. Repair crew pre-scheduling and post-disaster dispatch method considering uncertainty of component fault location[J]. Electric Power Automation Equipment, 2024, 44 (6): 161- 168.
24	WANG Y, QIU D W, TENG F, et al. Towards microgrid resilience enhancement via mobile power sources and repair crews: a multi-agent reinforcement learning approach[J]. IEEE Transactions on Power Systems, 2024, 39 (1): 1329- 1345. DOI
25	高志海, 沈美燕, 马龙义, 等. 考虑交通网络不确定性及SESS与MESS空间配合的分布式储能防灾应急规划[J]. 电力自动化设备, 2024, 44 (7): 54- 61.
	GAO Zhihai, SHEN Meiyan, MA Longyi, et al. Distributed energy storage planning for disaster prevention and emergency considering transportation network uncertainty and SESS-MESS spatial coordination[J]. Electric Power Automation Equipment, 2024, 44 (7): 54- 61.
26	赵晶晶, 刘帅, 李梓博, 等. 考虑SMESS的多阶段配电网弹性提升策略[J]. 智慧电力, 2023, 51 (5): 103- 110.
	ZHAO Jingjing, LIU Shuai, LI Zibo, et al. Resilience improvement strategy of multi-stage distribution system considering separable mobile energy storage system[J]. Smart Power, 2023, 51 (5): 103- 110.
27	WANG W, XIONG X F, HE Y F, et al. Scheduling of separable mobile energy storage systems with mobile generators and fuel tankers to boost distribution system resilience[J]. IEEE Transactions on Smart Grid, 2022, 13 (1): 443- 457. DOI
28	张璐, 黄睿, 王照琪, 等. 考虑恢复力与经济性均衡的配电网移动储能优化配置策略[J]. 电力系统自动化, 2020, 44 (21): 23- 31. DOI
	ZHANG Lu, HUANG Rui, WANG Zhaoqi, et al. Optimal configuration strategy of mobile energy storage in distribution network considering balance between resilience and economy[J]. Automation of Electric Power Systems, 2020, 44 (21): 23- 31. DOI
29	蔡博戎, 凌开元, 姜华, 等. 配电网移动储能优化配置研究[J]. 电工电能新技术, 2019, 38 (9): 26- 32. DOI
	CAI Borong, LING Kaiyuan, JIANG Hua, et al. Research on optimal allocation of movable energy storage in distribution network[J]. Advanced Technology of Electrical Engineering and Energy, 2019, 38 (9): 26- 32. DOI
30	李仁杰, 罗萍萍, 林济铿. 考虑有源配电网可靠性和脆弱性的储能多目标规划[J]. 南方电网技术, 2024, 18 (8): 39- 50.
	LI Renjie, LUO Pingping, LIN Jikeng. Multi-objective planning of energy storage considering reliability and vulnerability of active distribution network[J]. Southern Power System Technology, 2024, 18 (8): 39- 50.
31	胡伟, 杨硕. 考虑配电网脆弱性的储能双层优化配置模型[J]. 智慧电力, 2024, 52 (6): 1- 8. DOI
	HU Wei, YANG Shuo. Dual-tiered optimization configuration model for energy storage considering distribution network vulnerability[J]. Smart Power, 2024, 52 (6): 1- 8. DOI
32	徐岩, 郭佳睿, 马天祥. 考虑韧性提升的配电网故障恢复与抢修协调优化[J]. 高电压技术, 2024, 50 (12): 5516- 5528.
	XU Yan, GUOJIA Rui, MA Tianxiang. Coordinated optimization of fault recovery and emergency repair for distribution network considering resilience improvement[J]. High Voltage Engineering, 2024, 50 (12): 5516- 5528.
33	高明非, 韩中合, 赵斌, 等. 区域综合能源系统多类型储能协同优化与运行策略[J]. 中国电力, 2024, 57 (9): 205- 216.
	GAO Mingfei, HAN Zhonghe, ZHAO Bin, et al. Coordinated optimization and operational strategy for multi-type energy storage in regional integrated energy systems[J]. Electric Power, 2024, 57 (9): 205- 216.

[1]	郭政麟, 陈舒童, 田嘉雯, 陈峦, 郭中杰, 胡维昊, 付强. 基于容量价值函数的综合能源系统多元资源协同配置[J]. 中国电力, 2025, 58(7): 15-23.
[2]	孔令国, 田杨进, 康建东, 方磊, 刘闯, 蔡国伟. 考虑多电解槽协同的海上独立能源岛不确定性双层优化配置[J]. 中国电力, 2025, 58(7): 80-90, 104.
[3]	赵琳, 郭尚民, 商文颖, 董健, 王炜. 基于FDOA的可再生能源系统配置优化[J]. 中国电力, 2025, 58(7): 168-176.
[4]	任鹏, 赵志刚, 高洪超, 文武, 姜颖异. 基于功率直控的源储荷协同微电网的弱连接调控技术[J]. 中国电力, 2025, 58(4): 13-20.
[5]	颜俊, 罗宇杰, 颜安, 贺伟, 韩涛, 杨军. 计及用户响应特性的电动汽车充电站设备优化配置方法[J]. 中国电力, 2025, 58(4): 140-147.
[6]	李湃, 卢慧, 李驰, 杜洪博. 多能互补发电系统电/热储能容量双层优化配置方法[J]. 中国电力, 2025, 58(3): 55-64.
[7]	许光, 匡军, 宋红艳, 张泽虎, 臧祥宇, 张念上, 张玉敏. 面向低压配电台区拓扑结构采集的馈线终端优化配置方法[J]. 中国电力, 2025, 58(3): 151-161.
[8]	鲍红焉, 刘吉成, 刘子毅, 孙嘉康. 考虑电氢混合储能容量配置的主动配电网双层优化模型[J]. 中国电力, 2025, 58(10): 27-38.
[9]	齐国民, 李天野, 于洪, 卢博伦, 马宝中, 张文欣, 吴恩同, 肖先瑶. 基于MPC的户用光-储系统容量配置及运行优化模型[J]. 中国电力, 2025, 58(1): 185-195.
[10]	姜文瑾, 刘巧妹, 杨晓东, 阙定飞, 沈豫, 黄夏楠, 赖振华. 计及气固两相储氢特性的海上风电-多元储能系统优化配置[J]. 中国电力, 2024, 57(9): 103-112.
[11]	齐彩娟, 陈宝生, 韦冬妮, 杨钊. 考虑主从博弈定价模式的共享储能分布鲁棒优化配置方法研究[J]. 中国电力, 2024, 57(7): 40-53.
[12]	刘抒睿, 李培强, 陈家煜, 郭雅诗. 基于VMD分解下的皮尔逊相关性分析及T-tFD的混合储能容量配置[J]. 中国电力, 2024, 57(7): 82-97.
[13]	凡鹏飞, 李宝琴, 侯江伟, 李嵘, 宋崇明, 林凯骏. 配电网分布式电源经济可承载力评估[J]. 中国电力, 2024, 57(7): 196-202.
[14]	徐峰亮, 王克谦, 王文豪, 王鹏, 王文烨, 张帅, 赵凤展. 计及激励型需求响应的低压配电网混合储能优化配置[J]. 中国电力, 2024, 57(6): 90-101.
[15]	王扬, 路菲, 李骥, 谈竹奎, 孙宗宇, 徐伟, 宋子宏, 刘振鹏. 基于综合优化目标的低碳园区能源系统规划配置[J]. 中国电力, 2024, 57(4): 14-24.

考虑移动储能配置和调度的配电网抗灾能力提升策略

Disaster Resistance Enhancement Strategies for Distribution Networks Considering Configuration and Scheduling of Mobile Energy Storage

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

图/表 15

参考文献 33

相关文章 15

编辑推荐

Metrics

模态框（Modal）标题

考虑移动储能配置和调度的配电网抗灾能力提升策略

Disaster Resistance Enhancement Strategies for Distribution Networks Considering Configuration and Scheduling of Mobile Energy Storage

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

图/表 15

参考文献 33

相关文章 15

编辑推荐

Metrics