电力系统自动化2025，Vol.49Issue(23)：38-47,10.DOI:10.7500/AEPS20240513005
极端灾害下电力-交通协同抢修优化策略
Power-Transportation Coordinated Repair Optimal Strategies Under Extreme Disasters
摘要
Abstract
Under extreme disasters,both the transportation network and the distribution network have suffered various degrees of damage,and there is a close relationship between the repair efforts on both sides.The transportation network serves as the carrier for distribution repair operation,and the restoration of traffic signal loads at intersections helps alleviate road congestion.To achieve coordinated repair optimization for both sides,first,a power-transportation coupling network is established,and geographic information systems are used to achieve data fusion between the two networks.Then,with the goal of maximizing overall repair revenue,a power-transportation coordinated repair optimization model is developed,comprehensively considering the interconnection between the repair efforts on both sides.On the transportation side,the objective is to minimize user travel costs by optimizing the clearance sequence of damaged road sections.On the distribution side,the objective is to minimize the economic loss from load shedding,accounting for delay costs,by optimizing the repair sequence of faulty lines.The model is split into a master model and a sub-model,and the generalized Benders decomposition method is used to solve.Finally,the feasibility of the proposed method is validated through a 12-node transportation network and an IEEE 33-bus distribution network.关键词
极端灾害/交通网/配电网/协同抢修/广义Benders分解法Key words
extreme disaster/transportation network/distribution network/coordinated repair/generalized Benders decomposition method引用本文复制引用
卢志刚,张子龙,孔祥兴,李学平,李丹,马天祥..极端灾害下电力-交通协同抢修优化策略[J].电力系统自动化,2025,49(23):38-47,10.基金项目
国家自然科学基金重点资助项目(52130702). This work is supported by National Natural Science Foundation of China(No.52130702). （52130702）
