Fuzzy and P&O Based MPPT Controllers under Different Conditions
THE 7th INTERNATIONAL IEEE CONFERENCE on RENEWABLE ENERGY RESEARCH and APPLICATIONS (ICRERA 2018) / Paris
This paper proposes different maximum power point tracking (MPPT) techniques under different conditions for standalone photovoltaic (PV) systems by using MATLAB/Simulink framework. The MPPT techniques include Fuzzy Logic Controller (FLC) which is compared with Perturb and Observation (P&O). Based upon the simulation results, the FLC based MPPT controller can track the maximum power point (MPP) faster than other suggested controller under various weather circumstances such as different level of irradiance and temperature. It also observed the intelligent based MPPT algorithms have lower rippling in power compared with conventional P&O algorithm.