Wavelets as a tool for power system dynamic events analysis – State-of-the-art and future applications

Abstract Power system is constantly exposed to disturbances of varying intensity and cascading propagation of disturbance that can lead to partial or total power system blackout. Some of the consequences are network topology changes, outage of generator units or occurrence of low-frequency electromechanical oscillations (LFEO). One of the techniques for signal analysis and processing used in the past 20 years for power system disturbance analysis, and helped in better understanding of power system dynamic, is Wavelet Transform (WT). This work reviews WT applications for power system dynamic behavior analysis. With research made on vast literature it can be concluded that WT technique has different applications in disturbances identification and localization, LFEO identification and analysis, and assessment of active power imbalance.

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