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Erschienen in: Soft Computing 7/2017

21.09.2015 | Methodologies and Application

Optimal estimation of power system harmonics using a hybrid Firefly algorithm-based least square method

verfasst von: Santosh Kumar Singh, Nilotpal Sinha, Arup Kumar Goswami, Nidul Sinha

Erschienen in: Soft Computing | Ausgabe 7/2017

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Abstract

This paper presents a new hybridized algorithm known as Firefly algorithm-based least square (FA-LS) method for power system harmonic estimation. It uses a Firefly algorithm-based approach to estimate the phases and a least-square method for estimating the amplitudes of the harmonic signals. The simulation results are presented to demonstrate the estimation accuracy of FA-LS with the recently proposed particle swarm optimization with passive congregation and artificial bee colony with LS algorithms. The obtained results of FA-LS reveal that this algorithm is best in terms of accuracy and computational time. Practical validation is also made with the experimentation of the algorithm with real-time data obtained from a switch mode power supply with the power quality analyzer and estimation is performed under simulating environment.

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Metadaten
Titel
Optimal estimation of power system harmonics using a hybrid Firefly algorithm-based least square method
verfasst von
Santosh Kumar Singh
Nilotpal Sinha
Arup Kumar Goswami
Nidul Sinha
Publikationsdatum
21.09.2015
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 7/2017
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-015-1877-0

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