FPGA BASED RECOGNITION AND CATEGORIZATION OF POWER QUALITY DISTURBANCES WITH FUZZY CLASSIFIER
A. Muni Sankar Dr. T. Deva Raju Dr. M. Vijaya Kumar
industrial electrical power systems
Analysis of power system disturbances in non-stationary nature can be done using Discrete Wavelet Transform (DWT) which gives both time and frequency information. The detection and classification of power quality (PQ) events requires a suitable tool for implementing DWT algorithm with reconfigurable and shorter design cycle for hardware realization. In this paper, the primary work focus on the desired features of distorted power signal generated in MATLAB environment are extracted by evaluating DWT coefficients. These coefficients can be obtained by implementing the DWT algorithm on reconfigurable FPGA Spartan 3E kit experimentally. In the next stage, Fuzzy logic technique is used for classification of Power Quality (PQ) events that occur in system disturbances by framing rule base table. From the results the approach of using FPGA based hardware realization of wavelet transform is tested in classification of three types of PQ events.
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