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Selected harmonic minimization in 3-phase 11-level switch-switch multilevel inverter using artificial gorilla troops optimization algorithm Cover

Selected harmonic minimization in 3-phase 11-level switch-switch multilevel inverter using artificial gorilla troops optimization algorithm

Open Access
|Apr 2025

Abstract

A key challenge in designing 3-phase multilevel inverters (MLIs) is determining the switching angles that produce a low THD output voltage waveform. This work proposes an AGTO-SHMPWM technique for determining the switching angles, aiming to minimize low-order harmonics while achieving the desired fundamental harmonic. MATLAB analysis shows that the AGTO method achieves significantly lower objective function (OF) values, as low as 1032, compared to the GA and GOA methods. Cumulative distribution function analysis reveals that the AGTO method has a 38% probability of achieving an OF ≤ 1030, while the GA and GOA methods have a 0% probability. These results demonstrate that the AGTO method is more capable of thoroughly exploring the optimization solution space. PSIM simulation confirms that the switching angles computed using the AGTO method, when applied to a 3-phase 11-level switch-switch MLI (S2MLI), can produce sinusoidal-like staircase voltage waveforms with minimized V5, V7, V11 and V13 harmonics while achieving the desired fundamental voltage. The phase and line-to-line voltage THDs, when the S2MLI is operated at Midx of 0.80, are 7.93% and 5.55%, respectively, which are consistent with those predicted by MATLAB analysis.

DOI: https://doi.org/10.2478/jee-2025-0013 | Journal eISSN: 1339-309X | Journal ISSN: 1335-3632
Language: English
Page range: 124 - 133
Submitted on: Jan 6, 2025
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Published on: Apr 10, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year

© 2025 Yee Wei Sea, Wei Tik Chew, Siok Lan Ong, Quan Ming Wong, Ahmad Firdaus Ahmad Zaidi, Jenn Hwai Leong, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.