电力建设2026，Vol.47Issue(4)：49-62,14.DOI:10.12204/j.issn.1000-7229.2026.04.005
极端天气下电动公交车的应急保供调控策略
Emergency Supply Dispatch and Control Strategy for Electric Buses under Extreme Weather Conditions
摘要
Abstract
[Objective]This paper proposes a collaborative dispatch and control strategy for electric bus fleets to enhance the emergency supply capacity of power systems under extreme weather conditions.[Methods]The proposed approach leverages electric buses as mobile storage units during their idle periods to support distribution network operation.First,an electric-bus traffic-network model is developed based on operational scheduling data,enabling the formulation of a vehicle reallocation strategy that captures route-specific characteristics and operational patterns.Then,a mixed-integer linear programming model is established to coordinately optimize the distribution network and the electric-bus fleet.The model minimizes operating cost under disaster conditions,subject to operational constraints of both the distribution network and the electric buses.[Results]Case studies on an extended IEEE 33-node system and the IEEE 118-node system demonstrate that the proposed strategy enables rapid grid integration of electric buses and V2G power supply coverage within one hour after a fault.The approach significantly reduces load loss,and exhibits excellent performance in response speed,migration efficiency,and economic viability,thereby significantly enhancing the resilience of the power grid.[Conclusions]The research results offer effective solutions for emergency power supply under extreme weather conditions and contribute to improving urban disaster preparedness and resilience.The strategy also supports broader efforts toward achieving carbon peak and carbon neutrality goals.关键词
电动公交车/配电网/交通流量/调度优化/电网韧性Key words
electric buses/power distribution network/traffic flow/scheduling optimization/grid resilience分类
信息技术与安全科学引用本文复制引用
霍成芳,苗谊凡,石庆鑫,刘文霞,姚玉海,赵乔..极端天气下电动公交车的应急保供调控策略[J].电力建设,2026,47(4):49-62,14.基金项目
This work is supported by National Natural Science Foundation of China(No.52307094). 国家自然科学基金项目(52307094) （No.52307094）
