Laplacian atom search optimization algorithm: development and application for harmonic estimator design
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Date
2024-04
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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.