In this paper, the Real-Coded Genetic Algorithm (RCGA) is used to find appropriate switching angles for Selective Harmonic Mitigation (SHM) of Cascaded H-Bridge (CHB) multilevel inverters capable to meet the grid code standards for individual harmonics and total harmonic distortion (THD). The algorithm is tested on staircase multilevel waveforms. Simulation results show that the algorithm is able to find switching angles that meet the grid standards.

Selective Harmonic Mitigation of Cascaded H-Bridge Multilevel Converters Using Real-Coded Genetic Algorithm

Amir Ghasemian;Sobhan Mohamadian;Concettina Buccella;Maria Gabriella Cimoroni;Carlo Cecati
2024-01-01

Abstract

In this paper, the Real-Coded Genetic Algorithm (RCGA) is used to find appropriate switching angles for Selective Harmonic Mitigation (SHM) of Cascaded H-Bridge (CHB) multilevel inverters capable to meet the grid code standards for individual harmonics and total harmonic distortion (THD). The algorithm is tested on staircase multilevel waveforms. Simulation results show that the algorithm is able to find switching angles that meet the grid standards.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11697/253782
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