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Asian Journal of Information Technology
Year: 2016  |  Volume: 15  |  Issue: 3  |  Page No.: 493 - 503

Genetic Algorithm Optimized Converter Topologies for Photo Voltaic System Integrated with Micro-Grid

K. Geetha and D. Rajalakshmi    

Abstract: This study proposes a system such that the performance improvement in load is achieved by providing micro grid connected Photo Voltaic (PV) system with Selective Harmonic Elimination Pulse Width Modulation (SHEPWM) inverter and wind mill with matrix converter. The Genetic Algorithm (GA) is used to generate the gate pulse pattern (odd and even number of switching angles) for SHEPWM inverter over the range of modulation indices. The GA optimized PI controller based space vector modulation technique for matrix converter is implemented to reduce the selective specified lower order harmonics present in the load and also improves the input power fator of matrix converter. This optimized SHEPWM inverter through PV system and optimized matrix converter through wind mill system is simulated using MATLAB Simulink and verified with the experimental results independently. Simulation results prove the validity of the proposed system for both selective harmonics and Total Harmonic Distortions (THD) are reduced on the load side and also the input power factor is improved.

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