Supraharmonic Analysis by Welch's-Power Spectral Density Estimation

Supraharmonic analysis, as applied to power systems through Welch's Power Spectral Density Estimation, emerges as a crucial technique for assessing the stability and reliability of electrical grids. This paper offers a novel approach to investigate the non-standard frequency components and disturbances that can affect power distribution networks. By breaking down the electrical signals into supraharmonic components, this method enables a deep understanding of complex power system behaviors and the sources of instability. Welch's Power Spectral Density Estimation plays a pivotal role in this process, allowing for a detailed examination of the spectral content of power system signals. The extraction of supraharmonic information facilitates the identification of irregularities and anomalies, which are often elusive when analyzing traditional harmonic frequencies. The use of various window functions enhances the precision of Supraharmonic Analysis, allowing for a finely tuned investigation of power system behaviors and disturbances. Different window functions offer flexibility in capturing specific characteristics within the signals, making it easier to identify and isolate irregularities and anomalies. Among triangular,hanning, and hamming windows, reduced spectral leakage and smoother power spectral density are achieved from the hamming window. Also, the comparative analysis of harmonics and supraharmonics by Welch's Power Spectral Density estimation has been performed.