Performance Evaluation of MPPT Algorithms for Enhanced Efficiency in Photovoltaic Systems

Algorithms of maximum power point tracking are widely used in most of photovoltaic systems to optimize the output power which depends on ambient conditions such as solar irradiance and PV arrays’ temperature. In general, these techniques can be classified into two categories: conventional algorithms such as Perturb and Observe (P&O) and Incremental Conductance (INC).In this investigation, a comparison of these algorithms is conducted to analyse, compare, and assess their performances when they are integrated in a PV power system under dynamic changed conditions. The simulation results obtained from MATLAB/Simulink environment show that the dynamic performances of intelligent MPPT controller are much better than those of traditional algorithms such as P&O and INC.