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<p>Harmonics in multilevel inverters (MLIs) pose a critical challenge in power electronic systems, degrading power quality and complicating compliance with grid standards. Traditional selective harmonic elimination (SHE) techniques struggle to mitigate low-order harmonics effectively due to the nonlinear, transcendental nature of the governing equations and sensitivity to operating conditions. This paper introduces the Sparrow Search Algorithm (SSA) as a robust solution for SHE in seven-level cascaded H-bridge inverters, addressing the persistent issue of harmonic distortion across varying modulation indices. The study employs MATLAB/Simulink simulations to assess SSA’s harmonic mitigation capability, focusing on the elimination of dominant low-order harmonics (3rd, 5th, and 7th) under different modulation indices. A comparative analysis with the Genetic Algorithm (GA) is conducted, evaluating total harmonic distortion (THD) and convergence reliability. At a modulation index of 0.9, SSA achieves exceptional harmonic mitigation, reducing the 3rd, 5th, and 7th harmonics to 0.83%, 0.38%, and 0.49%, respectively, with a THD of 8.33%. In contrast, GA fails to maintain comparable performance, yielding harmonic magnitudes of 0.82%, 2.05%, and 16.24% and a THD of 33.87%. SSA’s superiority stems from its adaptive balance between exploration and exploitation, ensuring stable convergence even at critical operating points. The proposed SSA-based approach effectively addresses the harmonic challenge in MLIs, outperforming conventional methods like GA in both precision and robustness. While the achieved THD (8.33%) slightly exceeds the IEEE Standard 519–2014 limit of 5%, the results confirm that minimal additional filtering can bridge this gap. This work advances harmonic mitigation strategies, offering a viable and efficient solution for high-performance MLI applications.</p>

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Harmonic mitigation for symmetrical cascaded h-bridge inverter using sparrow search algorithm

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  • 发表日期：

    2025年6月23日

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  • Daniel Igenumah Tennyson,
  • Abdussamad Umar Jibia,
  • Ibrahim Haruna Shanono,
  • Nasiru Bello Kadandani

摘要

Harmonics in multilevel inverters (MLIs) pose a critical challenge in power electronic systems, degrading power quality and complicating compliance with grid standards. Traditional selective harmonic elimination (SHE) techniques struggle to mitigate low-order harmonics effectively due to the nonlinear, transcendental nature of the governing equations and sensitivity to operating conditions. This paper introduces the Sparrow Search Algorithm (SSA) as a robust solution for SHE in seven-level cascaded H-bridge inverters, addressing the persistent issue of harmonic distortion across varying modulation indices. The study employs MATLAB/Simulink simulations to assess SSA’s harmonic mitigation capability, focusing on the elimination of dominant low-order harmonics (3rd, 5th, and 7th) under different modulation indices. A comparative analysis with the Genetic Algorithm (GA) is conducted, evaluating total harmonic distortion (THD) and convergence reliability. At a modulation index of 0.9, SSA achieves exceptional harmonic mitigation, reducing the 3rd, 5th, and 7th harmonics to 0.83%, 0.38%, and 0.49%, respectively, with a THD of 8.33%. In contrast, GA fails to maintain comparable performance, yielding harmonic magnitudes of 0.82%, 2.05%, and 16.24% and a THD of 33.87%. SSA’s superiority stems from its adaptive balance between exploration and exploitation, ensuring stable convergence even at critical operating points. The proposed SSA-based approach effectively addresses the harmonic challenge in MLIs, outperforming conventional methods like GA in both precision and robustness. While the achieved THD (8.33%) slightly exceeds the IEEE Standard 519–2014 limit of 5%, the results confirm that minimal additional filtering can bridge this gap. This work advances harmonic mitigation strategies, offering a viable and efficient solution for high-performance MLI applications.