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Performance Study of Neural Network and ANFIS Based MPPT Methods For Grid Connected PV System

The maximum power point tracking (MPPT) methods are applied in PV solar systems to accomplish the desired maximum power from the PV system. Hence, it is important to design the best technique which can reach the maximum power point (MPP) effectively. In this paper, a grid connected PV system is controlled by artificial neural network (ANN) and adaptive neuro-fuzzy system (ANFIS) based MPPT methods. Both of proposed MPPT methods are analyzed related to their performance efficiency and response under the variation of solar irradiation and cell temperature. The obtained results of both methods are compared to experimental results which show that ANFIS has more response and efficiency than ANN in maximum power point tracking. The investigation has been done by using MATLAB/Simulink Environment.