Research on Optimal Inspection Period of Secondary Equipment of Converter Station in High Altitude Area Based on BP Neural Network

In order to obtain the optimal inspection period of the secondary equipment of the converter station in the high-altitude area, this paper combines the ±400kV Lhasa converter station inspection project to obtain the reliability data of the ±400kV DC converter station based on the field operation. From the perspective of dynamic evaluation, the secondary equipment of the converter station is evaluated. Through the simple statistical calculation of the reliability index proposed in this paper, a simple and intuitive analysis of the reliability of the secondary equipment of the converter station is given; The reliability of secondary equipment is dynamically evaluated, and reliability indicators such as reliability, failure rate, and failure probability density are given. Aiming at the characteristics of high reliability and small sample failure data of the secondary equipment of the converter station, a reliability evaluation method of relay protection based on BP neural network is proposed, which can provide a reference for the optimal inspection period of the secondary equipment of the converter station in the altitude area.