Modelling and Analysis of Neural Network and Incremental Conductance MPPT Algorithm for PV Array Using Boost Converter

نویسندگان

  • NAOUFEL KHALDI
  • HASSAN MAHMOUDI
  • MALIKA ZAZI
  • YOUSSEF BARRADI
چکیده

The maximum power point tracking (MPPT) system controls the voltage and the current output of the PV system to deliver maximum power to the load. Present work deals a comparative analysis of incremental conductance, and neural network based MPPT techniques. Parameters values were extracted using Newton Raphson method from characteristics of Shell SP75 module. The simulations have been carried out on MATLAB/SIMULINK platform for solar photovoltaic system connected to boost dc-dc converter. For two MPPT algorithms, Performance assessment covers overshoot, time response, oscillation and stability as described further in this paper. Key-Words: Photovoltaic systems, Artificiel neural network, incremental conductance, MPPT, dc-dc converter

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تاریخ انتشار 2014