Optimization Decision-making Method for Emergency Repair and Restoration of Transportation-distribution Networks Based on Ant Colony Algorithm

After the power outage caused by extreme events, the damaged traffic roads will affect the progress of the grid repair team to the fault line area, thus delaying the restoration of the distribution networks. For this reason, a method of distribution network emergency repair and restoration combined with the repair of damaged roads was proposed. Firstly, the constraints of rush repair vehicles in the traffic network were constructed based on the analysis of the impact of different damaged roads on rush repair vehicles. Secondly, considering the impact of damaged road emergency repair on power grid emergency repair, taking minimizing power loss of distribution network as an objective, line emergency repair and road repair was coordinated to establish a distribution network emergency repair strategy model, which was solved by ant colony algorithm. Finally, a system coupled with IEEE33-node distribution network and a 12-node transportation network was taken as an example for analysis. The simulation results show that the proposed method effectively improves the speed of distribution network emergency repair and reduces the power loss of distribution network load after a major power outage. The proposed scheme is more suitable for the actual situation of disasters, and can provide reference for the post disaster recovery of distribution network.