Fault Diagnosis of Single-Phase Grounding Distribution Network Based on Multi-Source Data Fusion

Abstract

This paper provides a distribution network fault diagnosis technology based on information fusion technology. Given the complex topology of the distribution network and redundant measurement data, it is difficult to obtain accurate fault diagnosis due to the complex fault mechanism. Therefore, it is proposed to fuse the electrical quantity in PMU (Phasor Measurement Unit) with the switching quantity in SCADA (Supervisory Control and Data Acquisition), and diagnose the fault of the distribution network through evidence fusion. MATLAB/Simulink simulation results show that the multi-source data fusion method can still accurately diagnose faults under the premise of fewer measurement points and has good fault tolerance and high accuracy.