Implementation of Recurrent Neuro management Algorithm for 2 Stage Solar Energy Conversion System


A grid interactive photovoltaic generation system is developed during this work. A boost converter forms the initial stage and is used to obtain the maximum power from the PV array. It is controlled using an incremental conductance (INC) based algorithm. The second stage may be a voltage source converter (VSC), that interfaces the PV system to the grid. A recurrent neurocontrol based mostly algorithm is used to come up with the switching pulses for the VSC. The solar energy conversion system (SECS) has the capabilities of harmonics reduction, reactive power compensation, unity power issue operation and grid currents balancing. The proposed system is validated beneath numerous operating conditions using simulation furthermore experimental results.

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