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

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

Mathematical Problems in Engineering, 2020, vol. 2020, 1-10

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.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:8856040

DOI: 10.1155/2020/8856040

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