Investigation and validation of an eleven level symmetric modular multilevel inverter using grey wolf optimization and differential evolution control algorithm for solar PV applications

Purpose This paper aims to examine the design and control of a symmetric multilevel inverter (MLI) using grey wolf optimization and differential evolution algorithms. Design/methodology/approach The optimal modulation index along with the switching angles are calculated for an 11 level inverter. Har...

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Bibliographic Details
Published in:Circuit world 2021-01, Vol.47 (1), p.117-127
Main Authors: Stonier, Albert Alexander, Chinnaraj, Gnanavel, Kannan, Ramani, Mani, Geetha
Format: Article
Language:English
Subjects:
Alternative energy sources
Bridges
Control algorithms
Control theory
Design optimization
Diodes
Energy industry
Energy resources
Evolutionary algorithms
Evolutionary computation
Field programmable gate arrays
Inverters
Optimization techniques
Photovoltaic cells
Population
Power
Programmable logic controllers
Renewable resources
Switches
Switching
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Summary:Purpose This paper aims to examine the design and control of a symmetric multilevel inverter (MLI) using grey wolf optimization and differential evolution algorithms. Design/methodology/approach The optimal modulation index along with the switching angles are calculated for an 11 level inverter. Harmonics are used to estimate the quality of output voltage and measuring the improvement of the power quality. Findings The simulation is carried out in MATLAB/Simulink for 11 levels of symmetric MLI and compared with the conventional inverter design. A solar photovoltaic array-based experimental setup is considered to provide the input for symmetric MLI. Field Programmable Gate Array (FPGA) based controller is used to provide the switching pulses for the inverter switches. Originality/value Attempted to develop a system with different optimization techniques.
ISSN:0305-6120
1758-602X
DOI:10.1108/CW-12-2019-0197