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Abstract
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Article Information:
An Efficient Genetics Algorithm based Z-source Converter for Grid Connected System
S. Mallika and R. Saravanakumar
Corresponding Author: S. Mallika
Submitted: December 26, 2014
Accepted: February 5, 2015
Published: June 20, 2015 |
Abstract:
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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.
Key words: Genetics algorithm, MPPT, multilevel inverter, PV array, total harmonic distortion, voltage source inverter ,
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Cite this Reference:
S. Mallika and R. Saravanakumar, . An Efficient Genetics Algorithm based Z-source Converter for Grid Connected System. Research Journal of Applied Sciences, Engineering and Technology, (6): 630-639.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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