Abstract: To address the challenges of high optimization complexity and slow convergence speed in distribution network fault reconfiguration, this paper proposes a fault reconfiguration strategy based on a modified binary grey wolf optimizer. First, considering constraints such as the radial topology of the distribution network, a fault reconfiguration optimization model is established with the objectives of minimizing power loss cost, reducing outage load, and minimizing the number of switch operations. Then, the continuous decision variables of the grey wolf algorithm are binarized, and a cosine-decay convergence factor and random bit-flip mutation mechanism are introduced to enhance population diversity and improve the optimization capability and solving efficiency of the algorithm. Finally, case simulations on a 30-node distribution network system in a specific region demonstrate the effectiveness of the proposed strategy, which significantly reduces outage duration and enhances power supply reliability.