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<p>Inverters play a crucial role as a power conversion system in integrating renewable energy sources such as solar and wind into microgrids and traditional grids, and efficient power conversion systems are essential. This paper focuses on reduced switch multilevel inverters (RS-MLIs), which deliver high-quality AC outputs with reduced total harmonic distortion (THD) and fewer components compared to conventional topologies. By employing advanced optimization techniques—teaching learning-based optimization (TLBO) and sparrow search algorithm (SSA)—optimal switching angles are calculated to enhance waveform quality and minimize harmonics. Simulations for 31-level and 63-level RS-MLIs, performed using MATLAB/Simulink, demonstrate significant THD reduction. The hardware implementation validates these results, underscoring the effectiveness of RS-MLIs in reducing harmonic distortion and facilitating the integration of distributed energy resources in microgrids. The proposed RS-MLI topology achieves better performance while requiring fewer switches, reducing system complexity and cost. Comparisons of TLBO and SSA reveal that SSA offers superior convergence speed and harmonic elimination performance. This study positions RS-MLIs as a promising technology to support global sustainability goals by enhancing the reliability and quality of renewable energy systems.</p>

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Selective Harmonic Elimination in Reduced Switch Multilevel Inverters for Microgrid Application

  • 期刊论文

  • 发表日期：

    2026年1月13日

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  • Siddhanta Pani,
  • Umamani Subudhi

摘要

Inverters play a crucial role as a power conversion system in integrating renewable energy sources such as solar and wind into microgrids and traditional grids, and efficient power conversion systems are essential. This paper focuses on reduced switch multilevel inverters (RS-MLIs), which deliver high-quality AC outputs with reduced total harmonic distortion (THD) and fewer components compared to conventional topologies. By employing advanced optimization techniques—teaching learning-based optimization (TLBO) and sparrow search algorithm (SSA)—optimal switching angles are calculated to enhance waveform quality and minimize harmonics. Simulations for 31-level and 63-level RS-MLIs, performed using MATLAB/Simulink, demonstrate significant THD reduction. The hardware implementation validates these results, underscoring the effectiveness of RS-MLIs in reducing harmonic distortion and facilitating the integration of distributed energy resources in microgrids. The proposed RS-MLI topology achieves better performance while requiring fewer switches, reducing system complexity and cost. Comparisons of TLBO and SSA reveal that SSA offers superior convergence speed and harmonic elimination performance. This study positions RS-MLIs as a promising technology to support global sustainability goals by enhancing the reliability and quality of renewable energy systems.