Harmonics estimator design with Trigonometric function inspired Grey Wolf Optimiser. (20th January 2023)

• Record Type: Journal Article
• Authors: Mehta, Aishwarya; Jangid, Jitesh; Saxena, Akash; Shekhawat, Shalini; Kumar, Rajesh
• Is Part Of: International journal of intelligent engineering informatics. Volume 10:Number 3(2022)
• Page Start: 212
• Page End: 241
• Publication Date: 2023-01-20
• Subjects: wavelet transform -- auto-regressive model -- grey wolf optimisation -- Chirp-Z transform -- harmonics -- power system harmonics -- power quality -- inter-harmonics -- harmonic losses -- sub-harmonics; Artificial intelligence -- Engineering applications -- Periodicals; Engineering -- Computer programs -- Periodicals; Knowledge management -- Periodicals; 620.0028563
• Languages: English
• ISSNs: 1758-8715

Abstract

The harmonic estimator design problem is more meaningful in the emerging power systems as quality of power is closely interlinked with consumer satisfaction and electricity price. For designing estimators, bio-inspired algorithms have been employed by researchers. This paper addresses the problem of estimating harmonic components in terms of phase and amplitude of complex waves. Although, for accurate identification of harmonics, several methods have been proposed, yet metaheuristic-based approaches have been used and in practice since the last two decades. Taking inspiration from these, the work presented in the manuscript is a proposal for a harmonic estimator design based on proposed Trigonometric function inspired Grey Wolf Optimiser (T-GWO). To validate the performance of T-GWO, we tested the proposed variant on conventional benches and then a harmonic estimator design is executed. We can observe the satisfactory performance of T-GWO as compared with the other state-of-the-art approaches existed in literature.