Research on the Method of Multi-fault Emergency Repair of Distribution Network under Disaster Conditions

With the increasing demand of power supply reliability from power users as well as the great impact of natural disasters on power supply reliability, it is of great significance in recent years to improve the efficiency of the emergency repair of the distribution network failure after the disaster and restore the power supply as soon as possible. However, the current analysis of the impact of the external environment on emergency repairs is not in-depth, resulting in its model not being able to fully reflect the actual circumstances of the distribution network emergency repairs under the background of disasters, making the actual feasibility of the strategies developed poorly. In view of the above-mentioned shortcomings, this paper analyzes the characteristics of multi-fault emergency repairs under disaster conditions compared with those under normal conditions, proposes a dynamic impact model including weather, repair sites, and infrastructure, also establishes a multi-fault emergency repair model of distribution network and optimization model of emergency repair strategy for distribution network. The simulated annealing algorithm (Simulated Annealing Algorithm, SAA) is used to solve the problem, and through horizontal comparison with common swarm intelligence algorithms such as genetic algorithm, it proves the advantages of SAA algorithm in calculation speed and ability to find the optimal solution. According to the actual data, the methods and principles of formulating the best emergency repair strategy for the distribution network under the disaster background are analyzed.