Comparative Study of Conventional P&O And Intelligent ANFIS Based MPPT For Grid-Connected PV System
Keywords:
Artificial Intelligence (AI), Maximum Power Point Tracking (MPPT), Perturb and Observe (P&O)Abstract
In the last decade, artificial intelligence (AI) based techniques have been extensively used to track maximum power point (MPP) in solar as well as in other power systems too. This is so because conventional MPPT techniques are incapable of tracking global maximum power point. MPPT algorithms are necessary because PV arrays have a non-linear voltage-current characteristics with a unique point where power produced is at its maximum. AI based MPPT technique exhibits fast convergence speed, less steady-state oscillation and high efficiency when compared with the conventional MPPT techniques. MATLAB/Simulink model for PV system is used to simulate the Perturb and Observe (P&O) and ANFIS MPPT methods. The result shows that the AI based MPPT accurately tracks the maximum power point.
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