Comparative Analysis of Adaptive P&O and Fuzzy Logic Controller Technique in Solar PV System

In this paper Adaptive Perturb and Observe using Fuzzy logic controller is used to improve the efficiency and faster response compared to the P & O technique. The PV cell module is connected to the boost converter and MPPT techniques. P & O with fixed perturb either conventional or modified suffers from disadvantages such as oscillations around maximum power point technique. It is known that the P&O method exhibits erratic behavior under rapidly changing irradiance level that causes incorrect or slow maximum power tracking. To overcome P & O oscillations I go for Adaptive P & O maximum power point tracking (MPPT) is proposed to track the maximum power under sudden changes in irradiance. Adaptive P&O tracking method without having oscillations around the MPPT. To enhance the performance of the P & O algorithm, this project presents the application of adaptive perturb and observe technique using fuzzy logic controller. Here the input variables of the controller are transformed into linguistic variables which associate with a set of rules results the displacement of the operation around MPPT form the photo voltaic cell to the load. Hence, the proposed method offers better output results with reduced oscillations. The simulation and experimental studies show that the proposed algorithm gives faster response than the conventional p and o algorithm. In this paper MATLAB simulink is used for analysis efficiency.