Spectral and statistical analysis for ferroresonance phenomenon in electric power systems

Abstract

This study presents our findings on the ferroresonance phenomenon for the Seyitomer–Isiklar part of the Electric Power System of 380 kV in Turkey. In this context, the power spectral density approach and Short-Time Fourier Transforms are applied to the voltage variations for phase R of the sample power network. The findings show that the ferroresonance event can be represented by the interharmonics between 50 and 250 Hz, as well as statistical properties. In addition, a histogram of the ferroresonance region shows a different characteristic from the overall data and the non-ferroresonance region. This different characteristic can be defined by an asymmetrical distribution characteristic, and its numerical measure is given by the “Noise to Signal Ratio” of 0.624.