Abstract:

In today’s modern power systems, with the increase of nonlinear loads, power electronics elements and circuits, power quality problems are also emerging. The elements that influence the quality of power are also harmonic. Therefore, the identification, measurement, shortening and suppression of the harmonics is extremely important. There are many methods and techniques available for harmonic shortening. But disorders that occur in power systems affect the performance of these methods. In the conducted study, the performance of the ten different methods used in harmonic cutting (fast Fourier conversion, chirp z-conversion, separate Hartley conversion, Hilbert-Huang conversion, Prony method, multi-sign classification, Kalman filter, smallest average quarter, normalized smallest average quarter, inflating smallest average quarter) in voltage crash, voltage jump, voltage crash and wave shape disruptions was studied and comparative analyses were made.

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