earticle

영어

Recently, photovoltaic (PV) system has emerged as a promising renewable energy source to meet out the increasing energy demand. This PV cell has to optimally operate at a particular point to deliver maximum power called maximum power point (MPP). This paper presents an adaptive fuzzy logic control (AFLC) for the maximum power point tracking (MPPT) algorithm for photovoltaic power generation system. The main idea of the proposed algorithm is the application of fuzzy controller with an adaptive gain as a maximum power point tracker. It adjusts the duty cycle of the boost converter as well as controller’s gain. The performance of AFLC is compared with the conventional fuzzy controller for varying irradiance. Simulation studies of AFLC are carried out in MATLAB. The experimental results show the effectiveness and feasibility of the proposed controller and the results were verified. The results reveal that the adaptive FLC can quickly track change of MPP in different light intensity and deliver more power compared to the classical fuzzy logic controller.