Harmonic Analysis of Photovoltaic-Fed Symmetric Multilevel Inverter using Modified Artificial Neural Network

Authors

N. I. Maheshwari, Thiagarajar Polytechnic College, Salem, Tamilnadu, India.Follow
M. Chandrasekaran, Government College of Engineering, Bargur, Tamilnadu, India.Follow

Author Country (or Countries)

India.

Abstract

This paper presents a control scheme to eliminate the harmonics in a symmetric cascaded multilevel inverter- connected grid system. It is controlled by modified artificial neural networks and genetic algorithm. The solar photovoltaic acts as input source and the output power is synchronized with grid. The switching angles are acquired such that the fundamental component of output voltage is kept steady and lower- order harmonics are limited or removed. The equipped system is coordinated with sun-oriented photovoltaic framework to decrease the harmonics. Also, this work’s target is to achieve the proposed idea using genetic algorithm strategies to get the ideal switching angles required for the inverter switches. The modelling of the solar panel contributes on the generation of energy. The proposed combination offers an important outcome to generate the minimal total harmonic distortion and furthermore empowers the inverter to work under unhinged photo photovoltaic conditions exhaustively.

Digital Object Identifier (DOI)

http://dx.doi.org/10.18576/amis/130114

Recommended Citation

I. Maheshwari, N. and Chandrasekaran, M. (2019) "Harmonic Analysis of Photovoltaic-Fed Symmetric Multilevel Inverter using Modified Artificial Neural Network," Applied Mathematics & Information Sciences: Vol. 13: Iss. 1, Article 14.
DOI: http://dx.doi.org/10.18576/amis/130114
Available at: https://digitalcommons.aaru.edu.jo/amis/vol13/iss1/14