A power supply recovery algorithm for large area power failure in distribution network based on artificial neural network

The distribution network directly serves the vast number of users. The distribution network covers every corner of the city and the countryside, and undertakes the function of supplying electricity to small and medium-sized customers. The purpose of this paper is to study the power supply recovery algorithm for large-scale power outages in distribution networks based on artificial neural networks. On the basis of analyzing the characteristics of power distribution network and large-area power outage in distribution network, a method of hot backup and artificial neural network is proposed to solve the problem of power supply recovery from large-area power outage in distribution network method of positioning. Secondly, the distribution network reconstruction model based on CMAC is introduced. In view of the shortcomings of the CMAC algorithm, the spurious technology is introduced to the random mapping method of the associated empty golden section. The CMAC network can quickly and accurately give the switch state when the network loss is the smallest according to different load conditions in the system. It avoids the complicated search optimization in the traditional heuristic method, especially suitable for real-time control.