Identification power quality events by wavelet transform

[[abstract]]For the advanced agricultural and biotechnology experiments, the high quality power supply is most essential for the proper and reliable operation of the sophisticated instruments and computers. In recent years, the growing utilization of nonlinear loads and sensitive electronic equipment is leading to gradual decreasing on the quality of electrical power systems. This paper firstly describes the various types of waveforms of voltages and currents related to power quality problem. For identification of power quality problems, this work propose a wavelet based rule base to analysis the waveform of voltages and currents. Then, statistics method is employed to analysis the features of those decomposed waveform. Based on the results of the statistics analysis, we develop a rule base to identify the power quality event. Finally, many disturbance cases generated by Matlab/Simulink program are utilized to verify the performance of the proposed approach.[[sponsorship]]中華農業機械學會; 行政院國家科學委員會生命推動中心; 行政院農業委員會[[notice]]補正完畢[[conferencetype]]國際[[conferencedate]]20021103~20021107[[booktype]]紙本[[conferencelocation]]嘉義縣, 臺