Abstract
Solar energy is abundant and renewable in nature. 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 with real time simulation and comparative analysis of perturb and observe, incremental conductance, fuzzy logic, neural network and adaptive neuro-fuzzy inference system (ANFIS) based MPPT techniques. Five MPPT algorithms have been implemented using voltage, current, radiation and temperature sensors on laboratory prototype. Real time simulations have been carried out on MATLAB™/dSPACE™ platform for solar photo-voltaic system with buck converter. Performance of MPPT methods have been compared based on tracking efficiency, steady state and dynamic behaviour. Experimental results of various MPPT techniques have been presented for tracking maximum power point under rapidly varying solar radiations.
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