Fault Recovery Strategy of Distribution Network Based on Improved Firefly Algorithm

To improve the reliability of fault recovery for active distribution networks with high proportions of new energy sources, a two-stage fault recovery strategy based on an improved firefly algorithm is proposed. First, construct a wind and solar power storage system model to reduce the impact of wind and solar power generation uncertainties on fault recovery. In the first stage, use a combination algorithm that considers load variability and user demand to divide the distribution network into islands after a fault occurs to restore essential loads for the first time. In the second stage, use an improved firefly algorithm to solve the distribution network reconstruction problem, which maximizes the restoration of the power supply while minimizing network losses. Finally, use the IEEE33 node distribution network as an example, and the results show that the proposed fault recovery strategy can obtain the optimal solution for distribution network fault recovery while meeting load user demand, ensuring uninterrupted power supply to essential loads, increasing power supply recovery rate, and reducing network losses after distribution network faults. The results verify the effectiveness and superiority of the proposed method.