Research on Decision-Making Capability Optimization of Substation Relay Protection System in Power System
The purpose of this paper is to optimize the performance optimization of substation relay protection system in power system.Firstly,the basic requirements of relay protection system are analyzed and discussed.Secondly,aiming at the problems of deep learning algorithms commonly used in relay protection systems,the performance optimization methods are proposed from the aspects of environment modeling,reward function model and ε-greedy parameter optimization.Finally,the performance optimization of relay protection system in a substation is compared and analyzed.The research results show that the introduction of intelligent technology improves the performance of relay protection system and provides a practical and effective solution to improve the stability and security of power system.