Investigation and validation of an eleven level symmetric modular multilevel inverter using grey wolf optimization and differential evolution control algorithm for solar PV applications
Abstract
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.
Keywords
Acknowledgements
This work was supported in part by the Department of Science and Technology (Government of India) under Grant CRD/2018/000075.
Citation
Stonier, A.A., Chinnaraj, G., Kannan, R. and Mani, G. (2020), "Investigation and validation of an eleven level symmetric modular multilevel inverter using grey wolf optimization and differential evolution control algorithm for solar PV applications", Circuit World, Vol. 47 No. 1, pp. 117-127. https://doi.org/10.1108/CW-12-2019-0197
Publisher
:Emerald Publishing Limited
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