Distribution Network Repair Scheduling With Multiple Types of Cooperation Using Dynamic Programming after Disasters

Abstract

Distribution of network repair scheduling after disasters (DNRSD) is important for developing a reasonable repair strategy and improving the efficiency of distribution of network repair after disasters. This study considers two cooperative relationships in the repair model, namely, simultaneous cooperation (SC) and ordered cooperation (OC), and proposes a new post-disaster distribution network repair model, the multiple cooperation model (MCM). Compared with conventional modeling, MCM can help to adjust repair strategies and prevent repair strategies from being delayed while in implementation. The original problem is divided into two stages, and collaboratively solved via dynamic programming. Compared with conventional solving methods, the proposed two-stage dynamic programming (TDP) optimization method can obtain global optimal solutions and make more reasonable repair strategies. Test cases based on the modified IEEE 123-bus and 8500-bus distribution systems verify the advantages of our proposed modeling and optimization method.