极端天气下考虑MESS-RC-网架重构协同恢复的配电网二阶段弹性提升策略

鄢仁武; 鲍金晟; 李培强

doi:10.19912/j.0254-0096.tynxb.2025-0071

PDF(1956 KB)

太阳能学报 ›› 2026, Vol. 47 ›› Issue (8) : 288-299. DOI: 10.19912/j.0254-0096.tynxb.2025-0071

极端天气下考虑MESS-RC-网架重构协同恢复的配电网二阶段弹性提升策略

鄢仁武^1,2, 鲍金晟¹, 李培强³

作者信息 +

TWO-STAGE RESILIENCE ENHANCEMENT STRATEGY FOR DISTRIBUTION NETWORKS CONSIDERING MESS-RC-NETWORK RECONFIGURATION SYNERGISTIC RECOVERY UNDER EXTREME WEATHER

Yan Renwu^1,2, Bao Jinsheng¹, Li Peiqiang³

Author information +

文章历史 +

摘要

近年来极端灾害频发,亟需提升受灾时电力系统的弹性,提出一种考虑移动储能（MESS）、维修队（RC）及配网重构协同恢复的二阶段弹性提升策略。在灾前阶段基于改进的Rankine风场模型,结合线路抗风强度计算其故障概率;基于Frank-Copula函数预测考虑区域相关性风光出力场景,建立考虑风光出力不确定性的双层三阶段鲁棒优化模型,确定MESS最佳预部署位置。在灾中阶段以负荷削减功率加权值最小为目标,建立MESS-RC-网架重构多源协同恢复供电模型,提升供电可靠性。基于改进的IEEE 33节点及47节点交通拓扑验证所提策略可有效提升电力系统弹性。

Abstract

In light of the escalating frequency of extreme disasters in recent years, there is an urgent need to enhance the resilience of the power system during disasters. This paper proposes a two-stage resilience enhancement strategy that considers the collaborative recovery of Mobile Energy Storage System , Repair Crew, and Distribution Network Reconfiguration. In the pre-disaster stage, the probability of failure is calculated based on the improved Rankine wind field model, which incorporates the wind strength of the line. The Frank-Copula function is then used to predict the scenarios of regional correlation of wind power, and a two-layer three-stage robust optimization model is established to consider the uncertainty of the wind power. The optimal pre-deployment location of the MESS is then determined. The establishment of a MESS-RC-network reconfiguration multi-source cooperative power supply restoration model is undertaken with the objective of minimizing the weighted value of load reduction power in the mid-disaster phase to improve the power supply reliability. The validity of the proposed strategy is verified by the improved IEEE 33-node and 47-node traffic topology, which demonstrates its effectiveness in enhancing the power system’s resilience.

导出引用

鄢仁武, 鲍金晟, 李培强. 极端天气下考虑MESS-RC-网架重构协同恢复的配电网二阶段弹性提升策略[J]. 太阳能学报. 2026, 47(8): 288-299 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0071

Yan Renwu, Bao Jinsheng, Li Peiqiang. TWO-STAGE RESILIENCE ENHANCEMENT STRATEGY FOR DISTRIBUTION NETWORKS CONSIDERING MESS-RC-NETWORK RECONFIGURATION SYNERGISTIC RECOVERY UNDER EXTREME WEATHER[J]. Acta Energiae Solaris Sinica. 2026, 47(8): 288-299 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0071

中图分类号： TM734

参考文献

[1] 李雨佳, 殷文倩, 龙覃飞, 等. 多元不确定性环境下含海量资源电力系统的弹性提升技术[J]. 高电压技术, 2022, 48(9): 3484-3496.
Li Y J, Yin W Q, Long Q F, et al.Review on resilience enhancement strategies for power systems with massive resources under multi-source uncertainties[J]. High Voltage Engineering, 2022, 48(9): 3484-3496.
[2] 荣俊杰, 周明, 元博, 等. 台风天气考虑故障演化的电力系统韧性评估方法[J]. 电网技术, 2024, 48(3): 1114-1131.
Rong J J, Zhou M, Yuan B, et al.Resilience assessment method on power systems under typhoon disaster considering failure evolution process[J]. Power System Technology, 2024, 48(3): 1114-1131.
[3] 王守相, 刘琪, 赵倩宇, 等. 配电网弹性内涵分析与研究展望[J]. 电力系统自动化, 2021, 45(9): 1-9.
Wang S X, Liu Q, Zhao Q Y, et al.Connotation analysis and prospect of distribution network elasticity[J]. Automation of Electric Power Systems, 2021, 45(9): 1-9.
[4] 袁杨, 张衡, 程浩忠, 等. 台风灾害下考虑多类型故障不确定性的源网荷协同弹性提升模型[J]. 电网技术, 2024, 48(6): 2541-2549.
Yuan Y, Zhang H, Cheng H Z, et al.Source-grid-load coordinated resilience enhancement model considering multi-type contingency uncertainty under typhoon disaster[J]. Power System Technology, 2024, 48(6): 2541-2549.
[5] 彭佳盛, 文云峰, 梁晓锐, 等. 基于弹性系数的配电网重构与故障抢修协同优化方法[J]. 电力系统自动化, 2025, 49(6): 88-95.
Peng J S, Wen Y F, Liang X R, et al.Resilience coefficient based collaborative optimization method of distribution network reconfiguration and fault repair[J]. Automation of Electric Power Systems, 2025, 49(6): 88-95.
[6] Hasanzad F, Rastegar H.Application of optimal hardening for improving resilience of integrated power and natural gas system in case of earthquake[J]. Reliability Engineering & System Safety, 2022, 223: 108476.
[7] 王卓容, 石庆鑫, 万海洋, 等. 基于负荷损失解析建模的城市电网移动式电源集群灾前布局[J]. 电力自动化设备, 2024, 44(10): 193-200.
Wang Z R, Shi Q X, Wan H Y, et al.Pre-disaster allocation of mobile power source group in urban power network based on analytical modeling of load loss[J]. Electric Power Automation Equipment, 2024, 44(10): 193-200.
[8] 唐雅洁, 李俊豪, 林达, 等. 考虑分布式光伏高效消纳与负荷损失最小的区域配电网应急资源协同配置策略[J]. 电力自动化设备, 2024, 44(7): 78-85.
Tang Y J, Li J H, Lin D, et al.Coordinated allocation strategy of emergency resource for regional distribution network considering distributed photovoltaic efficient absorption and minimum load loss[J]. Electric Power Automation Equipment, 2024, 44(7): 78-85.
[9] 李家钰, 秦文萍, 景祥, 等. 台风灾害下考虑连锁故障的电力系统弹性评估[J]. 电力系统及其自动化学报, 2023, 35(1): 14-22.
Li J Y, Qin W P, Jing X, et al.Power system resilience assessment considering cascading failure under typhoon disaster[J]. Proceedings of the CSU-EPSA, 2023, 35(1): 14-22.
[10] 陶文嘉, 冯亮, 彭克, 等. 极端灾害下基于光储优化配置的配电网供电恢复方法[J]. 电力系统自动化, 2025, 49(7): 189-197.
Tao W J, Feng L, Peng K, et al.Power restoration method for distribution network based on optimal configuration of photovoltaic and energy storage in extreme disaster scenarios[J]. Automation of Electric Power Systems, 2025, 49(7): 189-197.
[11] 万海洋, 刘文霞, 石庆鑫, 等. 计及交通流量动态变化的配电网灾后修复多时间断面优化策略[J]. 电力系统自动化, 2022, 46(12): 119-129.
Wan H Y, Liu W X, Shi Q X, et al.Multiple-time-section optimization strategy for post-disaster recovery of distribution network considering dynamic changes of traffic flow[J]. Automation of Electric Power Systems, 2022, 46(12): 119-129.
[12] 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 Z H, Shen M Y, Ma L Y, 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.
[13] 杨祺铭, 李更丰, 别朝红, 等. 计及间歇性新能源的弹性城市电网输配电协同供电恢复方法[J]. 高电压技术, 2023, 49(7): 2764-2774.
Yang Q M, Li G F, Bie Z H, et al.Coordinated power supply restoration method of resilient urban transmission and distribution networks considering intermittent new energy[J]. High Voltage Engineering, 2023, 49(7): 2764-2774.
[14] 何俊, 张博凯, 甘德树, 等. 计及台风的含高渗透率风电大电网多时间尺度防御调度策略[J]. 高电压技术, 2023, 49(4): 1724-1734.
He J, Zhang B K, Gan D S, et al.Multi-time scale defensive scheduling strategy for high wind power penetration grids under typhoon[J]. High Voltage Engineering, 2023, 49(4): 1724-1734.
[15] 梁振锋, 闫俊杰, 李江锋, 等. 极端暴雨灾害下城市配电网风险评估方法[J]. 电网技术, 2023, 47(10): 4180-4190.
Liang Z F, Yan J J, Li J F, et al.Risk assessment of urban distribution network under extreme rainstorm disasters[J]. Power System Technology, 2023, 47(10): 4180-4190.
[16] DL/T5154-2012 架空输电线路杆塔结构设计技术规定[S].
DL/T5154-2012 Technical code for the design of tower and pole structures of overhead transmission line[S].
[17] 冯钰贻, 曾弋凡, 丁慕琛, 等. 光伏组件温度分布及其功率预测模型研究[J]. 太阳能学报, 2025, 46(5): 383-390.
Feng Y Y, Zeng Y F, Ding M C, et al.Research on temperature distribution and power prediction model of photovoltaic modules[J]. Acta Energiae Solaris Sinica, 2025, 46(5): 383-390.
[18] 孙英聪, 陈来军, 李笑竹, 等. 考虑资源相关性的新能源场站群集中式共享储能优化配置[J]. 太阳能学报, 2024, 45(7): 2-9.
Sun Y C, Chen L J, Li X Z, et al.Optimal allocation of centralized shared energy storage for renewable energy station clusters with consideration of resource correlation[J]. Acta Energiae Solaris Sinica, 2024, 45(7): 2-9.
[19] 高帆, 包道日娜, 狄彦强, 等. 考虑风光出力动态相关性的场景生成方法[J]. 太阳能学报, 2024, 45(8): 256-264.
Gao F, Bao D, Di Y Q, et al.Scene generation method considering dynamic correlation of wind and photovoltaic outputs[J]. Acta Energiae Solaris Sinica, 2024, 45(8): 256-264.
[20] 王辉, 张依依, 张漪, 等. 计及风-光耦合出力特征的区域电煤双重储备优化方法[J]. 中国电机工程学报, 2024, 44(23): 9145-9160.
Wang H, Zhang Y Y, Zhang Y, et al.Optimal decision for regional thermal coal stockpile with dual-purpose reserves considering wind-solar power coupling characteristics[J]. Proceedings of the CSEE, 2024, 44(23): 9145-9160.
[21] Zhang Y M, Zhang X, Ji X Q, et al.Optimization of integrated energy system considering transmission and distribution network interconnection and energy transmission dynamic characteristics[J]. International Journal of Electrical Power & Energy Systems, 2023, 153: 109357.
[22] 刘方, 张浩, 杨秀, 等. 面向大规模异构分布式资源支撑的配电网快速应急恢复多时间尺度滚动优化策略[J]. 电网技术, 2023, 47(8): 3311-3323.
Liu F, Zhang H, Yang X, et al.Multi-time scale rolling optimization strategy for rapid emergency recovery of distribution network supported by large-scale heterogeneous distributed resources[J]. Power System Technology, 2023, 47(8): 3311-3323.