Control and Analysis of MPPT Techniques for Maximizing Power Extraction and Eliminating Oscillations in PV System

Abstract

Maximum power point tracking (MPPT) is used in photovoltaic (PV) system to continuously maximize the available power from PV panel. The power output from the panel is non-linear due to atmospheric conditions. This paper explored the performance of different maximum power point tracking (MPPT) techniques under static and dynamic atmospheric conditions. For performance assessment perturb and observe (P&O), fuzzy logic control (FLC) and particle swarm optimization MPPT techniques are developed. The performance level of these MPPT methods varies in several prospects such as response time, oscillations around maximum power point (MPP), tracking efficiency, the percentage of energy reduced to attain steady state and hardware implementation. A PV array of 1.5KW and boost converter with P&O, FLC, and PSO MPPT techniques are pretend using MATLAB/Simulink environment and established through the experimental setup. For a hardware implementation, to generate duty cycle for a boost converter using different MPPT algorithms dSPACE DS1103 processor board is used. The methodologies followed for analysis in this work are as follows: to begin with, MATLAB based solar PV module is developed and verified, then different MPPT techniques are engaged in this PV module under static and dynamic atmospheric circumstances to study the success of MPPT through simulation and hardware setup.