Device for on-line power quality disturbance recognition

A device for on-line detection and classification of PQ(Power Quality) disturbances is designed,which uses DSP,FPGA and simple peripheral circuit to realize the functions of signal acquisition,processing and display.In stead of the complicated classifiers,such as artificial neural network,expert system,fuzzy logic or support vector machine,a simple and effective method of PQ disturbance classification and quantification is proposed,which is a pattern recognition method of RBDT(Rule-Based Decision Tree) based on rule base.Five typical time-frequency characteristics of PQ disturbances are extracted as the inputs to recognize the pattern of nine typical PQ disturbances.Its performance is verified by algorithm simulation and HW test,showing that it meets the requirements of classification accuracy and real-time performance.