考虑分布式储能聚合与应急资源协同的配电网负荷恢复方法

潘力; 刘俊勇; 高红均; 刘景荣; 李海波; 马腾飞

doi:10.19783/j.cnki.pspc.260038

欢迎来到能源电力期刊网！

English Version 期刊登录

您当前的位置：

首页 >

文章列表页 >

考虑分布式储能聚合与应急资源协同的配电网负荷恢复方法

应用研究 | 更新时间：2026-07-19

- 考虑分布式储能聚合与应急资源协同的配电网负荷恢复方法
- Load restoration method for distribution networks considering distributed energy storage aggregation and emergency resource coordination
- 电力系统保护与控制 2026年54卷第14期
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.19783/j.cnki.pspc.260038
  中图分类号：
- 纸质出版：2026
- 稿件说明：
移动端阅览
潘力, 刘俊勇, 高红均, 等. 考虑分布式储能聚合与应急资源协同的配电网负荷恢复方法[J]. 电力系统保护与控制, 2026,54(14).

PAN Li, LIU Junyong, GAO Hongjun, et al. Load restoration method for distribution networks considering distributed energy storage aggregation and emergency resource coordination[J]. Power System Protection and Control, 2026, 54(14).
潘力, 刘俊勇, 高红均, 等. 考虑分布式储能聚合与应急资源协同的配电网负荷恢复方法[J]. 电力系统保护与控制, 2026,54(14). DOI： 10.19783/j.cnki.pspc.260038.

PAN Li, LIU Junyong, GAO Hongjun, et al. Load restoration method for distribution networks considering distributed energy storage aggregation and emergency resource coordination[J]. Power System Protection and Control, 2026, 54(14). DOI： 10.19783/j.cnki.pspc.260038.

摘要

高效利用多样化资源参与灾后供电并实现配电网负荷的快速恢复，是提升配电网弹性的重要问题。为此，提出了一种考虑分布式储能聚合与应急资源协同的负荷恢复协同方法。首先，分别构建了分布式储能的聚合模型与应急资源的时空调度模型。其次，以最大化负荷恢复量为目标，协调电力维修队和线路开关实现网络重构，同时利用移动储能和分布式储能联合为孤岛负荷供电，构建配电网灾后协同恢复优化模型。然后，采用McCormick包络法对模型中的非线性项进行线性化处理，进而将所提模型转化为混合整数线性规划模型。最后，通过修改的IEEE33节点和IEEE118节点配电网验证了所提方法在提升负荷恢复水平和求解效率上的有效性。

Abstract

Efficient utilization of diverse resources for post-disaster power supply and rapid load restoration is crucial for improving distribution network resilience. To this end

a load restoration method considering distributed energy storage aggregation and emergency resource coordination is proposed. First

an aggregation model for distributed energy storage systems and a spatiotemporal scheduling model for emergency resources including mobile energy storage (MES) and maintenance crews are developed. Second

with the objectives of maximizing restored load quantity and minimizing total restoration cost

power maintenance teams and line switches are coordinated to realize network reconfiguration

while MES and distributed energy storage jointly supply power to isolated loads

forming a post-disaster coordinated load restoration optimization model for distribution networks. Subsequently

the McCormick envelope method is adopted to linearize nonlinear terms in the model

converting the original model into a mixed-integer linear programming model. Finally

case studies on modified IEEE33-bus and IEEE118-bus distribution networks verify the effectiveness of the proposed method in improving restored load volume and reducing computational time.

关键词

Keywords

references

ZHANG Wei, ZHANG Cong, LI Jiayong, et al. Multi-resource collaborative service restoration of a distribution network with decentralized hierarchical droop control[J]. Protection and Control of Modern Power Systems, 2024, 9(1): 19-37.

ZHANG Maosong, FU Huixiao, WANG Xiuqin, et al. Disaster management approaches for active distribution networks based on mobile energy storage system[J]. Electric Power Systems Research, 2025, 239.

CHEN Hongzhou, XIONG Xiaofu, ZHU Jizhong, et al. A two-stage stochastic programming model for resilience enhancement of active distribution networks with mobile energy storage systems[J]. IEEE Transactions on Power Delivery, 2024, 39(4): 2001-2014.

WANG Wei, XIONG Xiaofu, XIAO Chao, et al. A novel mobility model to support the routing of mobile energy resources[J]. IEEE Transactions on Smart Grid, 2022, 13(4): 2675-2678.

LI Jiayong, KHODAYAR M E, FEIZI M R. Hybrid modeling based co-optimization of crew dispatch and distribution system restoration considering multiple uncertainties[J]. IEEE Systems Journal, 2022, 16(1): 1278-1288.

ÖZTÜRK E, FAULWASSER T, WORTHMANN K, et al. Alleviating the curse of dimensionality in Minkowski sum approximations of storage flexibility[J]. IEEE Transactions on Smart Grid, 2024, 15(6): 5733-5743.

TAHA F A, VINCENT T, BITAR E. An efficient method for quantifying the aggregate flexibility of plug-in electric vehicle populations[J]. IEEE Transactions on Smart Grid, 2025, 16(4): 3142-3154.

SCHNEIDER R. Convex bodies: the Brunn-Minkowski theory[M]. Cambridge: Cambridge University Press, 2013.

ARIF A, WANG Zhaoyu, WANG Jianhui, et al. Power distribution system outage management with co-optimization of repairs, reconfiguration, and DG dispatch[J]. IEEE Transactions on Smart Grid, 2018, 9(5): 4109-4118.

SUN Siyuan, LI Gengfeng, CHEN Chen, et al. A novel formulation of radiality constraints for resilient reconfiguration of distribution systems[J]. IEEE Transactions on Smart Grid, 2023, 14(2): 1337-1340.

WEI Wei. Tutorials on advanced optimization methods[J]. arXiv preprint, arXiv: 2007.13545, 2020.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

面向配电网承载域提升的储能双层规划方法

分布式光伏配电网无压方向元件新判据

基于配电网电气 - 拓扑综合特性的区内节点关键程度评估方法

晶闸管控制串并联中压配电变压器暂态建模及解析分析

基于故障点虚拟映射的配电网行波定位新方法