title: Feedforward maximum power point tracking of PV systems using fuzzy controller
abstract: A feedforward maximum power (MP) point tracking scheme is developed for the interleaved dual boost (IDB) converter fed photovoltaic (PV) system using fuzzy controller. The tracking algorithm changes the duty ratio of the converter such that the solar cell array (SCA) voltage equals the voltage corresponding to the MP point at that solar insolation. This is done by the feedforward loop, which generates an error signal by comparing the instantaneous array voltage and reference voltage. The reference voltage for the feedforward loop, corresponding to the MP point, is obtained by an off-line trained neural network. Experimental data is used for off-line training of the neural network, which employs back-propagation algorithm. The proposed fuzzy feedforward peak power tracking effectiveness is demonstrated through the simulation and experimental results, and compared with the conventional proportional plus integral (PI) controller based system. Finally, a comparative study of interleaved boost and conventional boost converter for the PV applications is given and their suitability is discussed
keyphrases: feedforward maximum power point tracking PV systems fuzzy controller tracking algorithm duty ratio solar insolation feedforward loop error signal instantaneous array voltage reference voltage off-line trained neural network back-propagation algorithm fuzzy feedforward peak power tracking effectiveness interleaved dual boost converter feed photovoltaic system solar cell array voltage