Fuzzy and P&O Based MPPT Controllers under Different Conditions

Haji D., Genc N.

7th International Conference on Renewable Energy Research and Applications (ICRERA), Paris, France, 14 - 17 October 2018, pp.649-654 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/icrera.2018.8566943
  • City: Paris
  • Country: France
  • Page Numbers: pp.649-654
  • Van Yüzüncü Yıl University Affiliated: Yes


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.