Risk Assessment Method of Multi-station Integration Based on Neural Network

Abstract

In recent years, the safety risk assessment of integrated power station systems has become more important as more and more substations optimize the overall operating effect by increasing energy storage power stations. In this paper, after using the expanded Kalman filtering algorithm, the risk assessment model of the fusion power station is established by the neural network-based method to provide a reference for the engineering construction.