Comparative analysis of numerical, evolutionary and metaheuristic methods for experimental implementation of selective harmonic elimination in a five-level emerging inverter

• Datum: 2026
• Hauptverfasser: Naidji, M., Toubal Maamar, A. E., Boudour, M., Garmat, A., Aissa-Bokhtache, A.
• Format: Artikel
• Sprache: Englisch
• Veröffentlicht: National Technical University "Kharkiv Polytechnic Institute" and Аnatolii Pidhornyi Institute of Power Machines and Systems of NAS of Ukraine 2026
• Schlagworte: emerging multilevel inverter; genetic algorithm; Newton-Raphson algorithm; particle swarm optimization; selective harmonic elimination
• Online Zugang: https://eie.khpi.edu.ua/article/view/346326
• Назва журналу: Electrical Engineering & Electromechanics

Introduction. Multilevel inverters (MLIs) are widely used in renewable energy conversion and high-performance power applications due to their ability to generate output voltages with low harmonic distortion and reduced switching stress. Selective harmonic elimination (SHE) remains one of the most ef...