极端天气下电动公交车的应急保供调控策略OA
Emergency Supply Dispatch and Control Strategy for Electric Buses under Extreme Weather Conditions
[目的]为提升极端天气下电力系统的应急保供能力,文章提出一种电动公交车集群协同调控策略.[方法]利用电动公交车在非运行时段作为移动储能单元优化配电网运行.首先,基于车辆运营情况建立电动公交车交通网络模型,根据线路及运行特点形成车辆调配策略;其次,以配电网灾害条件下运行费用最小化为目标,考虑配电网运行约束及电动公交车调控约束,建立配电网和电动公交车协同优化的混合整数线性规划模型.[结果]经IEEE 33节点扩展算例及IEEE 118节点算例验证,策略可在故障后1 h内实现车辆快速并网与V2G供电覆盖,有效降低负荷损失,并在响应速度、迁移效率和经济性等方面表现优异,显著增强电网韧性.[结论]研究成果为极端天气下电力应急保障提供了有效解决方案,同时对完善城市防灾减灾体系和推动"双碳"目标实现也具有重要价值.
[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.
霍成芳;苗谊凡;石庆鑫;刘文霞;姚玉海;赵乔
华北电力大学电气与电子工程学院,北京市 102206华北电力大学电气与电子工程学院,北京市 102206华北电力大学电气与电子工程学院,北京市 102206华北电力大学电气与电子工程学院,北京市 102206国网北京市电力公司电力科学研究院,北京市 100075国网北京市电力公司电力科学研究院,北京市 100075
信息技术与安全科学
电动公交车配电网交通流量调度优化电网韧性
electric busespower distribution networktraffic flowscheduling optimizationgrid resilience
《电力建设》 2026 (4)
49-62,14
This work is supported by National Natural Science Foundation of China(No.52307094). 国家自然科学基金项目(52307094)
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