Power grid fault diagnosis method and device based on deep neural network

The invention discloses a power grid fault diagnosis method and device based on a deep neural network. The method comprises the steps of obtaining power grid fault alarm information and a network topology structure; constructing a neural network sample according to the power grid fault alarm information and the network topology structure, wherein the neural network sample comprises a neural network learning sample and a neural network test sample; preprocessing the neural network sample to obtain a fault feature vector; inputting the fault feature vector of the neural network learning sample into a pre-constructed deep neural network model optimized based on a chaotic particle swarm algorithm for learning, and obtaining an optimized and learned deep neural network model; and inputting the fault feature vector of the neural network test sample into the deep neural network model after optimization learning to carry out probability diagnosis test, and obtaining a fault probability result, the deep neural network