SELF-ADAPTIVE OPTIMAL ALLOCATION STRATEGY OF EMERGENCY RESOURCES FOR POWER DISTRIBUTION NETWORK FAILURES

When the distribution network fails, emergency resources can provide a reliable guarantee for the rapid and smooth progress of emergency repair work. This study presents a self-adaptive optimal allocation strategy for the emergency resources of power distribution network failures. First, matching functions are established to indicate the matching degree of personnel, vehicles, tools, and spare parts with emergency repair workload. Second, a minimum absolute difference allocation algorithm based on the reasonable allocation of resources is proposed. On this basis, a self-adaptive optimisation allocation strategy for emergency resources is designed. The concept of self -adaptive index is introduced to describe the degree of matching between the emergency repair work and resource allocation as well as the impact of related factors on emergency resource allocation. Finally, the IEEE 33 node system is utilised as a simulation example to verify the effectiveness and practicability of the proposed self -adaptive optimal allocation strategy.