TY - EJOU AU - Gao, Song AU - Wang, Jiarui AU - Zhang, Yu AU - Jiang, Ling TI - The Method of Distribution-Microgrid Collaborative Fault Recovery Considering Network Dynamic Reconfiguration T2 - Energy Engineering PY - VL - IS - SN - 1546-0118 AB - This paper proposes a cooperative fault recovery method for distribution networks and microgrids considering dynamic network reconfiguration. First, an optimization model is constructed with the objectives of minimizing electricity purchase costs, voltage deviations, network losses, load shedding, and microgrid operation costs. The model thoroughly considers operational conditions, including power flow constraints, security operation constraints, and network reconfiguration constraints, within the distribution network. Second, to address the privacy protection requirements of distributed energy resources (DERs) in microgrids, a k-order approximation method is employed to establish an operation feasible region (OFR) model for microgrid operational flexibility resources. This model characterizes the operational characteristics of microgrids through power and energy boundary constraints. Finally, to solve the cooperative optimization problem between the distribution network and microgrids, a non-iterative solution method based on equivalent projection is proposed. This method decomposes the original problem into a distribution network-level optimization and microgrid-level subproblems, eliminating internal variables through equivalent projection technology to achieve cooperative optimization under privacy protection. Simulation results demonstrate that the proposed method can effectively achieve cooperative optimization of distribution network fault recovery and microgrid scheduling while protecting microgrid privacy information, significantly improving the economy and reliability of distribution network fault recovery. KW - Network reconfiguration; fault recovery; distribution-microgrid coordination; operational feasible region; equivalent projection DO - 10.32604/ee.2026.076467