The fault diagnosis method research of the intelligent substation considering the multi-source information of the primary and secondary system

The intelligent substation has the characteristics of the intelligent primary devices and the networking secondary system, which has greatly improved its controllability and observability. The change of the secondary system of the intelligent substation makes the traditional fault diagnosis algorithm difficult to adapt it because the traditional fault diagnosis algorithm doesn't take the influence of the network and IED into account. Based on the question that mentioned above, this paper builds the basic fault diagnosis model of the intelligent substation in which the primary system uses the Bayesian Network to find the fault components, analyze the protection relays and circuit breakers' operation and the secondary system uses the expert system to explain the devices' status and give a final diagnosis report via the fusion of the primary and the secondary system diagnosis results. Moreover, it analyzes the inference mechanism of the fault diagnosis of the secondary system, and tests the correctness of the model through a case.

I. Introduction

Most of the traditional substation fault diagnosis is meant to the primary components based on the information from protection relays, circuit breakers and recordersll”. ² When ¹ there isn't enough information, the diagnosis result has a low fault tolerance, accuracy and depth. In intelligent substation, the primary system uses the intelligent electronic devices (IEDs), and the secondary system is networked. Compared with the traditional substation, the intelligent substation has a high controllability and observability, which provides an essential condition for intelligent substation fault diagnosis. According to the characteristics of IEC61850 and the intelligent substation, [3] made a research about the approach to online diagnosis and analysis by using alarm information. According to the characteristics of accident management and the hierarchy of fault information, [4] designed a multi-agent-based intelligent substation fault diagnosis system, which lay a foundation for the research on the intelligent substation fault diagnosis.