Implementation of Recurrent Neuro management Algorithm for 2 Stage Solar Energy Conversion System PROJECT TITLE :Implementation of Recurrent Neuro management Algorithm for 2 Stage Solar Energy Conversion SystemABSTRACT: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. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Intelligent Power Sharing of DC Isolated Microgrid Primarily based on Fuzzy Sliding Mode Droop Management High Voltage Gain Interleaved Boost Converter with Neural Network Based MPPT Controller for Fuel Cell Based Electric Vehicle Applications
