Abstract
This paper presents non-parametric spectral estimation of power quality disturbances occurring in photovoltaic and wind-integrated systems. The primary non-parametric technique for spectral estimation is periodogram which suffers from a main limitation of offside lobe leakage due to finite signal length. Therefore, this work has proposed power spectral density estimation of voltage signals using Welch method that is a modified version of periodogram. Welch spectrum shows peaks only at the frequencies present in the power quality signal. Thus, it offers correct frequency estimation of non-stationary voltage signals and consequently helps in detection of power quality disturbances. The distributed generation model consisting of solar and wind energy integrated with grid is developed in MATLAB and three-phase disturbance signals are taken from point of common coupling for being segmented further. Three types of power quality disturbances, i.e., harmonics, transient and harmonics with transient are simulated for validating the efficacy of Welch method.
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