Fuzzy Based Power Quality Disturbances Identification in Power Systems
نویسنده
چکیده
Recognition and classification of different power quality events is of great importance in power systems which should be done on line. For this purpose, different methods are presented which each has advantages and disadvantages. In this paper, recognition way is presented for power quality disturbances such as sag, swell, outage, surge and normal based on fuzzy systems. In this method, voltage or current signal is decomposed on line using Fourier linear combiner (FLC) and amplitude and phase for each component of voltage or current signals are obtained. Then, a fuzzy controller is designed which its inputs are signal fundamental component amplitude and its slope variation. Fuzzy controller recognizes event type by these inputs and fuzzy rules obtained experimentally and then it classifies them. Eventually, mentioned strategy is implemented using tool box of fuzzy logic in MATLAB software and obtained results verify efficiency and usefulness of proposed method.
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