An adaptive fault diagnosis model based on topological information fusion

At present, most power system fault diagnosis methods are modeled for single element and have poor adaptability to network changing. In this paper, an adaptive fault diagnosis model that considers the network topology is proposed. Firstly, the topological information fusion model is established based on the power system topology description, which uses the incident matrix to represent the mapping relationship between elements and protective devices. Then, the topology transformation rules are established to deal with the cross-range characteristics of secondary backup protection, and based on which the whole reasoning process is given. Finally, the case studies of the IEEE 14-bus system demonstrate the efficiency and adaptability of the proposed method.

I. Introduction

Fault element estimation is the first prerequisite of power system operation and recovery when fault occurs. However, with the development of interconnected power grid, a large number of alarms, together with the uncertainty, will flock into the dispatching center within a short period after the fault. Therefore, a fault diagnosis system will assist dispatchers to determine the fault element quickly and accurately [1].