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{"title":"Electric Distribution Network Restoration Strategy with Pre-Deployment and Real-Time Scheduling of Mobile Emergency Generators in Coupled Transportation Network","authors":"Haoming Liu, Jihang Cheng, Wenqian Yin, Jian Wang","doi":"10.1002/tee.70253","DOIUrl":null,"url":null,"abstract":"<p>Mobile emergency generators (MEG) serve as critical emergency resources for enhancing distribution network restoration. Since the travel time of MEG in the transportation network will greatly affect the restoration speed of important loads, it is vital to take into account the routing problem of MEG in the transportation network when achieving MEG-assisted distribution network restoration. In this context, this paper proposes a two-stage restoration strategy considering pre-event MEG allocation and after-event restoration with real-time scheduling of MEG. Specifically, first, the spatial coupling mode of distribution network and transportation network is analyzed, and multiple fault scenarios are generated based on the fragility curves of distribution network equipment under extreme weather conditions. Second, aiming to optimize the MEG dispatching path and maximizing the load restoration after extreme events, a pre-event allocation model for MEGs is established. Then, focusing on the specific post-event distribution network fault scenario, a multi-period restoration model considering the real-time dispatching of MEG is established. The real-time routing and scheduling constraints of MEG in coupled distribution-transportation networks and the operation constraints of distribution network are fully incorporated. Eventually, case studies on the coupled PG&E69 distribution network and 30-node transportation network verify the effectiveness of the proposed restoration strategy. © 2026 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.</p>","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"21 9","pages":"1362-1371"},"PeriodicalIF":1.0000,"publicationDate":"2026-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEJ Transactions on Electrical and Electronic Engineering","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/tee.70253","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/23 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
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Abstract
Mobile emergency generators (MEG) serve as critical emergency resources for enhancing distribution network restoration. Since the travel time of MEG in the transportation network will greatly affect the restoration speed of important loads, it is vital to take into account the routing problem of MEG in the transportation network when achieving MEG-assisted distribution network restoration. In this context, this paper proposes a two-stage restoration strategy considering pre-event MEG allocation and after-event restoration with real-time scheduling of MEG. Specifically, first, the spatial coupling mode of distribution network and transportation network is analyzed, and multiple fault scenarios are generated based on the fragility curves of distribution network equipment under extreme weather conditions. Second, aiming to optimize the MEG dispatching path and maximizing the load restoration after extreme events, a pre-event allocation model for MEGs is established. Then, focusing on the specific post-event distribution network fault scenario, a multi-period restoration model considering the real-time dispatching of MEG is established. The real-time routing and scheduling constraints of MEG in coupled distribution-transportation networks and the operation constraints of distribution network are fully incorporated. Eventually, case studies on the coupled PG&E69 distribution network and 30-node transportation network verify the effectiveness of the proposed restoration strategy. © 2026 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.
耦合交通网络中移动应急发电机预部署与实时调度的配电网恢复策略
移动应急发电机是加强配电网恢复的重要应急资源。由于MEG在运输网络中的运行时间将极大地影响重要负荷的恢复速度,因此在实现MEG辅助配电网恢复时,考虑MEG在运输网络中的路由问题至关重要。在此背景下,本文提出了一种考虑事件前MEG分配和事件后MEG实时调度的两阶段恢复策略。具体而言,首先分析了配电网与运输网的空间耦合模式,并基于极端天气条件下配电网设备的易损性曲线生成了多种故障场景;其次,以优化MEG调度路径,实现极端事件后负荷恢复最大化为目标,建立MEG事件前分配模型。然后,针对具体的事件后配电网故障场景,建立了考虑MEG实时调度的多周期恢复模型。充分考虑了配运耦合网络中MEG的实时路由调度约束和配电网的运行约束。最后,以PG&;E69配电网和30节点交通网络为例,验证了所提恢复策略的有效性。©2026日本电气工程师学会和Wiley期刊有限责任公司。
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