Distribution System Fault Diagnosis Scheme Based on Multiple Information Sources

For power distribution systems of passenger dedicated line demand high reliability of power supply, it is very important to detect fault, locate fault and restore power supply as quickly as possible. A novel fault diagnosis scheme based on multiple information sources is proposed in this paper. The scheme is wavelet based and realizes fault detection, fault inception identification, fault classification and single line to ground fault location. In order to actualize rapid fault detection, modal electric component resulting from a novel phase-modal transform is employed. Fault detection, fault inception identification and fault classification process all use local transient electric quantities, and in addition, fault classification also uses local protection information. The fault location process is artificial neural network based and uses the interested frequency band signal of voltage and current to locate fault. Through simulating in MATLAB/SIMULINK, the results show that the proposed fault diagnosis scheme is correct and reliable.