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计及电力-交通耦合的模块化移动储能双层优化布局与调度方法
李凡, 王智冬, 刘佳玲, 郭国栋, 秦继朔, 刘栋, 秦博宇
电力建设 ›› 2026, Vol. 47 ›› Issue (5) : 159-169.
PDF(2729 KB)
PDF(2729 KB)
计及电力-交通耦合的模块化移动储能双层优化布局与调度方法
Bi-Level Optimization of Modular Mobile Energy Storage Systems Considering Coupling Power-Transportation Network
【目的】 移动储能系统(mobile energy storage system,MESS)兼具能量供给与空间调度的灵活性。为解决现有方案在空间灵活性与跨域协同方面存在的不足,提出一种考虑电力-交通耦合特性的MESS预布局与优化调度方法,实现多灾害场景下关键负荷供电保障与系统运行优化。【方法】 将配电网与交通网建模为通过充/放电设施节点实现耦合的加权无向图,并引入综合模块度指标进行区域划分,使各区域内电气连接紧密、交通可达性高。构建考虑电力交通耦合的MESS双层优化模型,求解MESS的仓库模块预布局以及多场景路由与充放电调度优化策略。结合最短路径矩阵加速计算,提高模型可解性与计算效率。【结果】 在改进的IEEE 33节点配电网与Sioux Falls 24节点交通网算例中,所提方法实现了合理的MESS空间布局与灵活调度。综合模块度分区相比单一电气或交通指标划分更能反映电力-交通耦合特性,双层优化模型在多灾害场景下显著提升了MESS的调度效率,增强了关键负荷的供电保障能力。【结论】 研究成果为MESS的规划与运行提供了理论支撑,对提升电力系统在极端事件下的可靠性具有重要意义。
[Objective] Mobile energy storage systems (MESS) offer both energy supply and spatial dispatch flexibility. This paper proposes a pre-allocation and optimal scheduling framework for MESS that explicitly considers power-transportation coupling, aiming to safeguard critical loads and optimize system operation under multi scenarios. [Methods] The power and transportation network are modeled as weighted undirected graphs coupled through charging/discharging facility nodes. A comprehensive modularity index is introduced for regional partitioning, ensuring strong electrical connectivity and high traffic accessibility within each partition. A bi-level optimization model is constructed to determine warehouse pre-allocation of MESS and optimize multi-scenario routing and charging/discharging scheduling strategies. The shortest-path preprocessing method is employed to accelerate solution performance. [Results] Case studies on a modified IEEE 33-bus distribution system and the Sioux Falls 24-node transportation network verify the proposed method. The results show that the proposed framework achieves reasonable spatial allocation and flexible dispatch of MESS. Compared with partitions based on single electrical or traffic indicators, the comprehensive modularity-based partitioning better reflects power-transportation coupling characteristics. The bi-level optimization model significantly improves MESS scheduling efficiency and enhances the supply capability of critical loads under multi-disaster conditions. [Conclusions] The proposed method provides theoretical support for the planning and operation of MESS by leveraging both spatial flexibility and cross-domain coordination.
mobile energy storage system / coupling power-transportation network / bi-level optimization / spatiotemporal flexibility
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频发的极端天气事件严重影响高度电气化的终端能源系统,亟需提高配电系统弹性。为呈现移动储能网络与配电系统的应急联动现状,首先以极端天气事件诱发的非常规突发事件为切入点,总结了目前主流的极端天气事件及其组合对电力交通耦合系统影响机理;其次分析了以仓储管理和物流分配为表征的移动储能网络模型,以呈现不同可达性条件下移动储能网络的应急能力;随后基于经典配电系统弹性优化模型,形成含移动储能网络的配电系统弹性优化策略;进而分析移动储能网络及配电系统多主体属性下的协同利益分配机制及方法;最后对移动储能网络与配电系统的应急联动研究进行展望。
The increasing occurrence of extreme weather events (EWEs) are threatening the end energy consumption under high levels of electrification,and it is urgent to increase the resilience of distribution systems. To depict the status quo of joint emergence response capabilities of the mobile energy storage networks (MESNs) and distribution systems, the unconventional emergencies introduced by EWEs are treated as the start point. The prevalent modelling techniques of EWEs and their impacts on coupled electricity and power systems (CEPSs) are summarized. The emergency response capacity of MESNs is concluded from the inventory management and logistics management perspectives considering the varying reachability conditions. Based on the classical resilient management models of distribution systems, the MESNs are incorporated into the resilience enhancement schemes. The benefits allocation among MESNs and distribution systems are overviewed from game theoretical problem formulation and equilibrium computation perspectives. The further research problems on joint emergency management of MESNs and distribution systems are highlighted.
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利益冲突声明(Conflict of Interests): 所有作者声明不存在利益冲突。
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