Abstract
Power quality parameters are the limit values that allow an electrical device to function as intended without significant loss of performance and life expectancy. It is important to detect power quality disturbances quickly and reliably to ensure reliability and continuity of the power system. Today, unlike conventional methods, signal processing-based disturbance and fault detection methods have gained great importance. Wavelet transform (WT)-based disturbance detection methods are the most prominent among these methods. In this study, the performance of the discrete wavelet transforms (DWT)-based disturbance detection method used in the detection of voltage sag and voltage swell events were evaluated for different wavelet types. Process calculation load, response to event signal and performance values were compared for different wavelet types. The results will be an important source for the selection of appropriate wavelets in the methods using WTs.
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