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台风灾害下考虑移动储能协同的配电网两阶段韧性提升策略OA

A Two-Stage Resilience Enhancement Strategy for Distribution Networks Integrated with Mobile Energy Storage Coordination Under Typhoon Disasters

中文摘要英文摘要

[目的]针对台风灾害下沿海配电网易发生大面积停电且恢复资源配置不均的问题,本文提出一种考虑移动储能系统(mobile energy storage system,MESS)协同的配电网"灾前预布局-灾后动态调度"两阶段韧性提升策略.[方法]首先,基于修正Rankine涡旋模型构建物理风场模型,量化评估台风路径对配电网线路故障概率及光伏(photovoltaic,PV)机组物理易损性的时空动态影响,建立从"物理致灾"到"容量衰减"的关联机制.在灾前预警阶段,构建以MESS预布局成本和最恶劣线路故障场景下运行成本最小为目标的两阶段鲁棒优化模型,利用列与约束生成(column and constraint generation,CCG)算法识别"N-k"最恶劣故障组合,实现MESS科学预置.在灾后恢复阶段,建立多时段滚动启发式动态调度模型,基于"负荷优先、就近调度"原则,协同MESS、柴油发电机(diesel generator,DG)及抢修队,形成"抢修-储能-调度"的时空动态配合机制.[结果]改进的IEEE 33节点系统算例结果表明,该模型能有效量化台风导致的PV容量衰减;在最恶劣线路故障场景下,预布局方案较无优化方案初始运行成本降低56.9%;全过程总成本较无优化方案降低41.63%,较全局严格优化策略求解时间缩短了99.51%.[结论]该策略实现了从物理致灾机理到系统运行优化的全链条贯通,通过MESS"时空可平移"的独特优势有效平抑了台风灾害的不确定性影响,显著提升了配电网的抗灾韧性与经济性.

[Objective]To address the vulnerabilities of coastal distribution networks to large-scale blackouts and the uneven allocation of restoration resources during typhoon disasters,this paper proposes a two-stage resilience enhancement strategy of"pre-disaster pre-positioning and post-disaster dynamic scheduling"considering the coordination of mobile energy storage systems(MESS).[Methods]First,a physical wind field model is constructed based on the modified Rankine vortex model to quantitatively evaluate the spatiotemporal dynamic impacts of typhoon trajectories on the line failure probabilities and the physical vulnerability of photovoltaic(PV)units,thereby establishing a coupling mechanism from"physical hazard"to"capacity degradation".In the pre-disaster warning phase,a two-stage robust optimization model is formulated to minimize the MESS pre-positioning cost and the operational cost under the worst-case line failure scenario.The column and constraint generation(CCG)algorithm is utilized to identify the"N-k"worst-case fault combinations to achieve the scientific pre-positioning of MESS.In the post-disaster restoration phase,a multi-period rolling heuristic dynamic scheduling model is established.Based on the principle of"load priority and proximity-based scheduling",MESS,diesel generators(DG),and repair crews are coordinated to form a spatiotemporal dynamic coordination mechanism of"repair-storage-scheduling".[Results]Case study results on the modified IEEE 33-bus system demonstrate that the proposed model can effectively quantify the PV capacity degradation caused by typhoons.Under the worst-case line failure scenario,the initial operational cost of the pre-positioning scheme is significantly reduced by 56.9%compared to the scheme without optimization.For the entire process,the total cost is reduced by 41.63%compared to the unoptimized scheme,and the solution time is drastically shortened by 99.51%compared to the globally strict optimization strategy.[Conclusions]The proposed strategy achieves a full-chain integration from physical hazard mechanisms to system operation optimization.By leveraging the unique advantage of the"spatiotemporal transferability"of MESS,it effectively mitigates the uncertain impacts of typhoon disasters,significantly enhancing the disaster resilience and economic efficiency of the distribution network.

赵振宇;候雨薇

华北电力大学经济与管理学院,北京市 102206华北电力大学经济与管理学院,北京市 102206

信息技术与安全科学

台风灾害移动储能调度鲁棒优化配电网韧性

typhoon disastersmobile energy storagedispatchrobust optimizationdistribution network resilience

《电力建设》 2026 (9)

15-30,16

北京市社会科学基金项目(25BJ03207)北京市自然科学基金项目(8232013) This work is supported by Beijing Municipal Social Science Foundation(No.25BJ03207)and Beijing Municipal Natural Science Foundation(No.8232013).

10.12204/j.issn.1000-7229.2026.09.002

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