Reliability Analysis of Intelligent Substation Protection System Based on Markov Model

摘要

In order to improve the reliability of the secondary equipment operation of the intelligent substation, it is necessary to evaluate the operation status of the secondary equipment online in real time. In this paper, we analyze the characteristics of some 750kV substations in Xinjiang that are sampled by conventional sampling intelligent tripping methods and are in extreme operating environments. A Markov model is proposed by taking into account the typical line spacing of conventional sampling intelligent tripping substations in extreme operating environments. The dynamic model analyzes the reliability of the conventional sampling intelligent trip substation protection system theoretically. It is concluded that the method can provide theoretical support for the substation maintenance plan requirements.