Modelling and Simulation of Perturbation and Observation MPPT Algorithm for Photovoltaic Applications

Renewable energy has too much attention over past few years specially solar energy. Photovoltaic is a technique in which solar energy is converted into electrical energy (DC). As we know conventional energy is limited so we are trying to improve the uses of renewable energy like solar energy, hydel energy, and tidal energy. A single cell of photovoltaic has still very low output so it is necessary to improve the performance and reduce the cost. The model of photovoltaic presented in this paper can be used to visualize its output characteristics which are I-V characteristics and P-V characteristics under different irradiation level and temperature. In this paper MPPT- Maximum power point tracking is a method in which changing the ratio between current and voltage delivered to get power by tracking one maximum power point from array input. Here the system developed by combining (PV) photovoltaic module and DC-DC boost converter. There is a detail discussion of DC-DC boost converter and perturbation and observation (P&O) MPPT algorithm. Perturbation and observation (P&O) principal is to create a perturbation by increasing or decreasing the duty cycle of DC-DC boost converter and observe the change in PV output. Used algorithm is to track MPPs because it performance very small control under rapid changes. This is experimentally verified by modelling the PV system with MPPT algorithm in MATLAB/Simulink Software