A Neuro Controller based SVPWM for Stand – Alone PV System

S. Vasantharaj, P.Dhanasekaran .

Abstract


In this paper, the Space Vector Pulse Width Modulation (SVPWM) control strategies is used for the implementation of  Impedance Source Inverter (ZSI) based Solar Energy Conversion system was explained. The solar irradiation and temperature are mainly depends on the output power produced from the PV conversion process. The proposed method is capable of tracking MPPs rapidly and accurately without steady-state oscillation, thus, its dynamic performance is more efficient. In this proposed method the SVPWM is used to treat the sinusoidal voltage as a constant amplitude vector rotating at constant frequency. This project proposes a MPPT method, based on Neural Network Controller (NNC) with a ZSI applied to a stand-alone photovoltaic system. By adjusting the shoot-through duty cycles of the Z-Source network the maximum power from the solar PV system is transferred to the stand alone system. Hence the harmonic distortion in the output voltage or current will be less. The inverter output current for driving a load should be noted such that it does not carry the harmonic content. However since disturbed sine wave is unavoidable under various factors it is necessary to reduce the harmonic level to obtain a highly effective output. The results are generated in MATLAB/ SIMULINK and are shown.

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References


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