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A Novel Bio-Inspired Algorithm Applied to Selective Harmonic Elimination in a Three-Phase Eleven-Level Inverter

Author

Listed:
  • Adrián F. Peña-Delgado
  • Hernán Peraza-Vázquez
  • Juan H. Almazán-Covarrubias
  • Nicolas Torres Cruz
  • Pedro Martín García-Vite
  • Ana Beatriz Morales-Cepeda
  • Juan M. Ramirez-Arredondo

Abstract

Selective harmonics elimination (SHE) is a widely applied control strategy in multilvel inverters for harmonics reduction. SHE is designed for the elimination of low-order harmonics while keeping the fundamental component equal to any previously specified amplitude. This paper proposes a novel bio-inspired metaheuristic optimization algorithm called Black Widow Optimization Algorithm (BWOA) for solving the SHE set of equations. BWOA mimics the spiders’ different movement strategies for courtship-mating, guaranteeing the exploration and exploitation of the search space. The optimization results show the reliability of BWOA compared to the state-of-the-art metaheuristic algorithms and show competitive results as a microalgorithm, opening its future application for an on-line optimization calculation in low requirement hardware.

Suggested Citation

  • Adrián F. Peña-Delgado & Hernán Peraza-Vázquez & Juan H. Almazán-Covarrubias & Nicolas Torres Cruz & Pedro Martín García-Vite & Ana Beatriz Morales-Cepeda & Juan M. Ramirez-Arredondo, 2020. "A Novel Bio-Inspired Algorithm Applied to Selective Harmonic Elimination in a Three-Phase Eleven-Level Inverter," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-10, December.
    • Handle: RePEc:hin:jnlmpe:8856040
    DOI: 10.1155/2020/8856040
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    Cited by:

    1. Manoharan Madhiarasan & Daniel T. Cotfas & Petru A. Cotfas, 2023. "Black Widow Optimization Algorithm Used to Extract the Parameters of Photovoltaic Cells and Panels," Mathematics, MDPI, vol. 11(4), pages 1-24, February.
    2. Mohamed Farhat & Salah Kamel & Ahmed M. Atallah & Mohamed H. Hassan & Ahmed M. Agwa, 2022. "ESMA-OPF: Enhanced Slime Mould Algorithm for Solving Optimal Power Flow Problem," Sustainability, MDPI, vol. 14(4), pages 1-33, February.

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