Harmonics estimator design with Trigonometric function inspired Grey Wolf Optimiser

Aishwarya Mehta, Jitesh Jangid, Akash Saxena, Shalini Shekhawat, Rajesh Kumar

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)212-241
Number of pages30
JournalInternational Journal of Intelligent Engineering Informatics
Volume10
Issue number3
DOIs
Publication statusPublished - 2022
Externally publishedYes

Keywords

  • auto-regressive model, grey wolf optimisation
  • Chirp-Z transform
  • harmonic losses
  • harmonics
  • interharmonics
  • power quality
  • power system harmonics
  • sub-harmonics
  • wavelet transform

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Human-Computer Interaction
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Signal Processing

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