A Restoration Strategy Integrating Main-Distribution Network Coordination with Emergency Power Vehicle Dispatch and Network Reconfiguration

作者：Yulu Yang, Rui Ou, W X Liu, Diwen Zheng, Chenkai Huang, Jingzhe Wang, Chenghuang Wu, Kaiwen Hou, Yannan Tuo, Qihui Chen · 年份：2025 · DOI：10.1109/icoecai67333.2025.11335734 · 研究领域：Electric Vehicles and Infrastructure、Optimal Power Flow Distribution、Smart Grid Energy Management

In the recovery strategy, joint optimization of main-distribution network (M-DN) coordination, emergency power vehicle (EPV) dispatch, and network reconfiguration (NR) prevents the formation of de-energized isolated grids and significantly reduces power outage costs caused by faults. This paper proposes a grid recovery strategy considering joint NR with M-DN coordination and EPV dispatch. First, the concept of path weight is proposed, and the Dijkstra algorithm is improved to construct the shortest path weight matrix, establishing a power-transportation network coupling model. Second, the costs of EPV dispatch and NR are quantified, and corresponding dispatch and reconfiguration models are developed. Then, based on the power-transportation network coupling model and recovery resource model, considering M-DN coordinated optimization, a grid fault contingency planning model for joint EPV dispatch and NR is proposed, with optimization objectives including network loss, power purchase cost, power outage cost, EPV dispatch cost, and NR cost. Finally, verification through case analysis shows that the proposed recovery strategy has significant recovery effects for different grid fault scenarios.