Selective harmonic Elimination using Dwarf mongoose optimization in Single-Phase Seven-Level switched capacitor inverter with reduced components

Abstract

The advancement of high-performance multilevel inverters is essential for contemporary power electronics applications. Nonetheless, attaining a compact topology that offers high gain, minimized component count, and enhanced harmonic mitigation continues to pose a difficulty. This study presents a single-phase seven-level switched capacitor multilevel inverter (SCMLI) that employs ten switches, two capacitors, and a single DC source, utilizing the self-voltage balancing properties of switched capacitors to eliminate the necessity for auxiliary circuits or complex control mechanisms. The Dwarf Mongoose Optimization Algorithm (DMOA) improves the optimization of switching angles, hence enhancing selective harmonic removal and providing substantial control over individual harmonics. Comparative analysis and experimental results validate the inverter’s resilience and exceptional performance, exhibiting a threefold voltage gain. Moreover, DMOA surpasses conventional and state-of-the-art optimization algorithms in terms of both speed and convergence accuracy, and achieves the best accuracy of around $1\times {10}^{-52}$ which helps in significant reductions in the overall harmonic distortion, especially in the 5th and 7th harmonics. The inverter’s effectiveness in reducing switching losses, attributed to its low switching frequency and high operating efficiency, makes it an effective option for industrial applications.