Harmonic Detection in Micro-Grid Based on Modified S-Transform

Abstract

The excellent time–frequency resolution of the modified S-transform (MST) makes it an attractive candidate for analysis and detection of harmonic in micro-grid. This paper presents a new approach for micro-grid harmonic detection based on the MST. Firstly, the MST was performed for the harmonic signal, and then the feature vectors were extracted from the resulting time-frequency matrix. Finally, the frequency, amplitude and phase of the harmonic were obtained by analyzing and processing these feature vectors. Simulation results show that the proposed approach can detect the harmonic in micro-grid with high accuracy and strong noise immunity.

Wavelet transform‐based feature extraction for detection and classification of disturbances in an islanded micro‐grid

“…Many researchers have utilised digital signal processing (DSP) techniques such as Fast Fourier transformation [1], S‐transform [2], and hyperbolic S‐transform [3] to detect transient signals in the power system. Mohanty et al [4] discusses some popular DSP techniques that can be used for islanding detection in a DG system; among these is the wavelet transformation (WT).…”