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, Fransa, 14 - 17 Ekim 2018, ss.649-654, (Tam Metin Bildiri) identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1109/icrera.2018.8566943
  • Basıldığı Şehir: Paris
  • Basıldığı Ülke: Fransa
  • Sayfa Sayıları: ss.649-654
  • Van Yüzüncü Yıl Üniversitesi Adresli: Evet

Özet

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.