The Operation and Maintenance Strategy of Smart Grid based on Intelligent Perception and Optimization Algorithm

Abstract

Due to the existence of a sensor model, the state perception of the distribution network can obtain higher RMSE. Because of this situation, this topic intends to use artificial intelligence technology to realize the embedded sensing system of stable operation of distribution network: Front-end sensor and wireless inlet design. According to the stable operation characteristics of the distribution network, a stable data collection system is established. Various algorithms based on data unification and identification are proposed to sense calculation parameters. An adaptive dynamic stability detection method is designed based on a deep neural network. Experiments show that an RMSE of 0.031 can be obtained by this method. This method can realize the accurate perception of the running state of the distribution network.