A Study of Electric Power System Transient Signals Identification Method Based on Multi-scales Energy Statistic and Wavelet Energy Entropy
Xiaoqin Chen · Proceedings of the CSEE · 2006
Detection and classification of electric transient signal were applied in many fields, such as transient protection and power quality analysis; besides picking-up available characteristics played an important role in the filed of transient signal identification. Based on multi-scales expression and the definition of two post-analysis methods (energy statistic and wavelet entropy), the EMTDC simulated models were built about five transient signals including single phase grounding, switch operating, capacitor switching, primary arc and lightning strike, the distribution rule along with scales of the five transient signals was given when they happened in different conditions. The results indicated that there were some laws based on multi-scales energy statistic and entropy measure, and it is able to cluster. Meanwhile, the analysis methods offered a new thought to fault classification.