Home            Contact us            FAQs
    
      Journal Home      |      Aim & Scope     |     Author(s) Information      |      Editorial Board      |      MSP Download Statistics

     Research Journal of Applied Sciences, Engineering and Technology


An Efficient Genetics Algorithm based Z-source Converter for Grid Connected System

1S. Mallika and 2R. Saravanakumar
1Sri Sairam Engineering College, Chennai, India
2School of Electrical Engineering, VIT University, Vellore, India
Research Journal of Applied Sciences, Engineering and Technology  2015  6:630-639
http://dx.doi.org/10.19026/rjaset.10.2472  |  © The Author(s) 2015
Received: December ‎26, ‎2014  |  Accepted: February ‎5, ‎2015  |  Published: June 20, 2015

Abstract

This study deals with a simulation of robust and reliable three phase grid power interface system for photo voltaic modules using genetics algorithm based optimization technique. A control system is designed to harvest maximum solar energy under varied weather conditions with the use of a genetics algorithm based SVPWM controlled Z source fed multilevel inverter. Using Z-source networks, the system can work within a wider range of PV array output voltages than for a conventional boost converter. This study describes an modified genetics algorithm that reduces the computational burden and optimum switching angles are determined to eliminate lower order harmonics and reduces total harmonics distortion. The simulation is done using MATLAB and the simulation results are presented.

Keywords:

Genetics algorithm, MPPT, multilevel inverter, PV array, total harmonic distortion, voltage source inverter,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Information
   Sales & Services
Home   |  Contact us   |  About us   |  Privacy Policy
Copyright © 2024. MAXWELL Scientific Publication Corp., All rights reserved