考虑多种场景下的移动-固定式混合储能优化配置方法

An Optimal Allocation Method for Hybrid Mobile-Stationary Energy Storage Considering Multiple Scenarios

中文关键词:地震灾害  移动式储能  混合配置  两阶段随机优化

keywords:seismic hazards  mobile energy storage  hybrid configurations  two-stage stochastic programming

中文摘要:频发的极端灾害将导致配电网和交通网严重受损，基于分布式储能的负荷恢复是提高配电网韧性水平的重要手段，但凭储能设备对韧性的贡献难以充分证明其安装的经济合理性。为解决系统经济性和韧性需求，提出一种基于多场景的固定式储能与移动式储能的两阶段随机优化配置方法，并将退役电池引入固定式储能。第一阶段对混合储能系统的位置和容量进行规划决策，第二阶段则最小化配电网正常场景的运行成本和地震期间的负荷损失。考虑地震灾害强度和发生时间的不确定性，提出了双层蒙特卡罗模拟和基于分层采样和距离缩减的场景生成方法。采用渐进式对冲算法求解模型，以IEEE33节点和12节点网络进行4种方案的对比，验证了所提策略在提升配电网经济性和韧性水平的有效性。

Abstract:Frequent extreme disasters inflict severe damages upon distribution and transportation networks. Load restoration leveraging distributed energy storage systems forms a crucial approach to bolstering distribution network resilience. Yet， justifying the economic viability of installing energy storage devices based solely on their resilience contribution proves challenging. To balance system economics with resilience requirements， this paper proposes a two-stage stochastic optimization method for allocating stationary and mobile energy storage， based on multiple scenarios， and introduces retired batteries into stationary storage. The first stage determines optimal location and sizing decisions for the hybrid energy storage system. The second stage focuses on minimizing operational costs under normal conditions while drastically reducing load losses during seismic events. Additionally， accounting for the uncertainty of seismic hazard intensity and occurrence time， a two-layer Monte Carlo simulation and a scenario generation method based on stratified sampling and distance reduction are introduced. The model is solved using the progressive hedging algorithm. Comparative analysis of four scenarios using IEEE 33-bus and 12-bus transportation networks validates the strategy’s effectiveness in enhancing both the economic efficiency and resilience of distribution networks.