PQ Disturbances Identification Based on SVMs Classifier

The deregulation polices in electric power systems result in the absolute necessity to quantify power quality (PQ). An effective classification strategy for PQ disturbances was needed. A new method based on N-I support vector machines (SVMs) was presented for PQ disturbances identification. Through phase-shift and some simple algebra operations, the PQ disturbances were detected first. Then a data dealing process was carried out to extract features from the detecting outputs. Then N kinds of PQ disturbances were classified with an N-I SVMs classifier. The testing results show that the proposed method could classify the PQ disturbances successfully. Moreover, the classifier has an excellent performance on training speed and reliability