POWER QUALITY DISTURBANCE CLASSIFICATION BASED ON TIME-DOMAIN,RULE BASE AND WAVELET MULTI-RESOLUTION DECOMPOSITION
Miao Zhu-mei · Power System Technology · 2004
A method to extract the features of power quality disturbance signals and to establish the disturbance feature vectors is proposed by use of wavelet multi-resolution decomposition which integrates frequency-domain analysis with time-domain analysis. Using this method and combining the expandable rule-based expert system, the types of power quality disturbance signals can be identified. The proposed method can be applied to real-time monitoring of power system disturbances. The simulation results prove that this method is effective.