The invention relates to the technical field of power
distribution networks, in particular to a power distribution network self-healing control method and device and a medium, and the method comprises the steps: building a
distributed structure model, obtaining a topological structure, collecting historical power distribution abnormal data, carrying out the data preprocessing and
feature extraction, inputting the data into a first
deep learning model, training the first deep model, and carrying out the self-healing control of the power distribution network; adjusting parameters to obtain a fault detection model, collecting real-time power distribution data, inputting the real-time power distribution data into the fault detection model, obtaining a power distribution abnormal position, inputting the power distribution abnormal position into a topological structure, obtaining a reconstruction power distribution scheme through calculation, obtaining an
influence factor through calculation, collecting power distribution abnormal data and carrying out
feature extraction. The second depth model is trained, parameters are adjusted, an oscillation judgment model is obtained, whether oscillation happens to the reconstructed power distribution scheme or not is judged,
cost calculation is conducted on the reconstructed power distribution scheme without oscillation, a topological structure is recognized and updated, cost is reduced, and
economic benefits are improved.