Research on fault identification method of ru-ral distribution network for optimal control

With the rapid economic development in rural areas of our country, the scale of the rural distribution network is ex-panding constantly. However, the existing rural distribution network still has problems, such as unreasonable network structure, weak reliability, and aging equipment. Therefore, a fault identification method for rural distribution networks oriented to optimal control is proposed to improve the relia-bility of rural distribution networks. However, due to the limitation of the traditional neural network itself, it can not identify the fault samples well. Therefore, an intelligent fault identification model of a rural distribution network based on deep learning is proposed. First, determine the neural network architecture; Then the model is trained with the corresponding parameter optimization algorithm. Finally, the deep learning model for fault identification of rural dis-tribution networks can be obtained. The simulation results show that the method is effective.