Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/1591
Title: Laplacian atom search optimization algorithm: development and application for harmonic estimator design
Authors: Saxena, A
Shekhawat, S
Kumar, R
Mehta, A
Jangid, J
Issue Date: Apr-2024
Abstract: Harmonics, are the major source of contaminations in fundamental voltage and current signals. For consumer satisfaction and for better equipment performance, these contaminations shall be identified and mitigated. Although, for accurate identification of harmonics, several methods have been proposed, yet metaheuristic based approaches have been used and in practice, since last two decades. The work reported here is based on a newly proposed optimization algorithm named as Atom Search Optimisation (ASO). In the first phase, a variant of ASO is proposed, based on Laplacian operator based position update mechanism named as Laplacian-ASO (L-ASO) for enhancing the performance of ASO and in the next phase, application of a newly developed L-ASO is carried out on harmonic estimator design problems. The improvisation of our proposed L-ASO is validated through con ducted analyses and results showcased in the discussion section.
URI: http://hdl.handle.net/123456789/1591
Appears in Collections:School of Engineering & Technology



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