Harmonics Minimization in MLI Using Grasshopper Optimization Algorithm

This paper proposes the use of a nature-inspired algorithm known as Grasshopper Optimisation Algorithm for optimising switching angles applied to a three-phase 7-level cascaded H-bridge multilevel inverter. Switching angles obtained using the algorithm can be used to synthesise an optimised output v...

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Bibliographic Details
Published in:International journal of electronics 2022-06, Vol.109 (6), p.1009-1034
Main Authors: Chew, W. T., Yong, W. V., Ong, S. L., Leong, J. H.
Format: Article
Language:English
Subjects:
Algorithms
Cascaded H-bridge multilevel inverter
Electric potential
Genetic algorithms
grasshopper optimisation algorithm
Harmonics
Inverters
Modulation
Multilevel
Optimization
pulse width modulation
selective harmonic minimisation
Simulation
Switching
total harmonic distortion
Voltage
Waveforms
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Summary:This paper proposes the use of a nature-inspired algorithm known as Grasshopper Optimisation Algorithm for optimising switching angles applied to a three-phase 7-level cascaded H-bridge multilevel inverter. Switching angles obtained using the algorithm can be used to synthesise an optimised output voltage waveform with desired fundamental component and minimised 5th and 7th order harmonics. Simulation results show that the algorithm is able to provide switching angles over a wider modulation index range than Newton Raphson technique and is capable of minimising the objective function better than Genetic Algorithm. MATLAB/Simulink-PSIM dynamic co-simulation performed on a three-phase 7-level cascaded H-bridge multilevel inverter operated using GOA derived switching angles is able to respond to varying modulation index demand and produce the output voltage waveform with the desired fundamental component and minimised selected 5th and 7th order harmonics. Both simulation and experimental results obtained from the three-phase 7-level cascaded H-bridge multilevel inverter show good agreement, confirming the validity of the switching angles obtained using the Grasshopper Optimisation Algorithm.
ISSN:0020-7217
1362-3060
DOI:10.1080/00207217.2021.1966660