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Application of Simulated Annealing Optimization Algorithm in Selective Harmonic Elimination Problem

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Book cover Artificial Intelligence in Renewable Energetic Systems (ICAIRES 2017)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 35))

Abstract

Harmonic pollution is a very common issue in the field of power electronics, Harmonics can cause multiple problems for power converters and electrical loads alike, this paper introduces a modulation method called selective harmonic elimination pulse width modulation (SHEPWM), this method allows the elimination of a specific order of harmonics and also control the amplitude of the fundamental component of the output voltage. In this work SHEPWM strategy is applied to a five level cascade inverter. The objective of this study is to demonstrate the total control provided by the SHEPWM strategy over any rank of harmonics using the simulated annealing optimization algorithm and also control the amplitude of the fundamental component at any desired value. Simulation and experimental results are presented in this work.

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Author information

Authors and Affiliations

  1. Laboratoire Génie Electrique et Energies Renouvelables (LGEER), Electrical Engineering Department, Hassiba Benbouali University, Chlef, Algeria

    Fayçal Chabni & Rachid Taleb

  2. Unité de Développement des Equipements Solaires (UDES)/EPST, Bou Ismail, Tipaza, Algeria

    Mustapha Hatti

Authors
  1. Fayçal Chabni
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  2. Rachid Taleb
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  3. Mustapha Hatti
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Corresponding author

Correspondence to Rachid Taleb .

Editor information

Editors and Affiliations

  1. EPST-CDER, UDES, Unité de Développement des Equipements Solaires, Bou Ismaïl, Algeria

    Mustapha Hatti

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Chabni, F., Taleb, R., Hatti, M. (2018). Application of Simulated Annealing Optimization Algorithm in Selective Harmonic Elimination Problem. In: Hatti, M. (eds) Artificial Intelligence in Renewable Energetic Systems. ICAIRES 2017. Lecture Notes in Networks and Systems, vol 35. Springer, Cham. https://doi.org/10.1007/978-3-319-73192-6_39

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  • DOI: https://doi.org/10.1007/978-3-319-73192-6_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73191-9

  • Online ISBN: 978-3-319-73192-6

  • eBook Packages: EngineeringEngineering (R0)

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