Research on Intelligent Testing Method of Relay Protection Equipment based on Machine Learning Model

Abstract

The main content of the intelligent test of relay protection is to carry out the automatic intelligent test of the relay protection device to ensure its reliable operation. This task puts forward new requirements for the current traditional convolutional neural network architecture. The goal of intelligent testing of power equipment relay protection is to change the relay protection equipment of input power into a new one through the test of relay protection equipment to be used for computer program entry or system monitoring. Based on the above background, this paper proposes an intelligent test model of power equipment relay protection based on a machine learning algorithm. It improves the test quality through the above processing method of relay protection equipment. The machine learning algorithm model mainly relies on adversarial network testing and autoencoder to realize. In this paper, the basic tasks of the relay protection intelligent test are different, and the relay protection intelligent test methods are respectively designed and optimized.