Modeling of Hybrid Wind-Photo Voltaic Energy Systems for Grid Connected Applications Based on Conventional and Fuzzy Logic Controllers
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064



Research Paper | Electrical Engineering | India | Volume 2 Issue 1, January 2013

Modeling of Hybrid Wind-Photo Voltaic Energy Systems for Grid Connected Applications Based on Conventional and Fuzzy Logic Controllers

V. Prasanna, N.PremaKumar

This paper presents power-control strategies of a grid-connected hybrid generation system with versatile power transfer. The hybrid system allows maximum utilization of freely available renewable sources like wind and photovoltaic energies. This paper presents a new system configuration of the multi input rectifier stage for a hybrid wind and photovoltaic energy system. This configuration allows the two sources to supply the load simultaneously depending on the availability of the energy sources. The multi- input rectifier stage also allows Maximum Power Point Tracking (MPPT) to be used to extract maximum power from the sun when it is available. An adaptive MPPT algorithm with a standard perturbs and observed method will be used for the Photo Voltaic system. The main advantage of the hybrid system is to give continuous power supply to the load. The gating pulses to the inverter switches are implemented with conventional and fuzzy controller. This hybrid wind-photo voltaic system is modeled in MATLAB/SIMULINK environment. Simulation circuit is analyzed and results are presented for this hybrid wind and solar energy system.

Keywords: CUK, Maximum Power Point Tracking MPPT, Photovoltaic PV system, Voltage Source converter VSC

Edition: Volume 2 Issue 1, January 2013

Pages: 171 - 176

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How to Cite this Article?

V. Prasanna, N.PremaKumar, "Modeling of Hybrid Wind-Photo Voltaic Energy Systems for Grid Connected Applications Based on Conventional and Fuzzy Logic Controllers", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=IJSROFF130201028, Volume 2 Issue 1, January 2013, 171 - 176

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