Affiliations: [a] Amal Jyothi College of Engineering, Kanjirappally, Kerala, India
| [b] Kalasalingam University, Srivilliputhur, Tamilnadu, India
| [c] Department of EEE, TKM College of Engineering, Kollam, Kerala, India
Correspondence:
[*]
Corresponding author. S. Sheik Mohammed, Amal Jyothi College of Engineering, Kanjirappally, Kerala, India. Tel.: +91 95002 43999; Fax: +91 4828 251136; E-mail: ssheikmd@yahoo.co.in.
Abstract: Optimization of fuzzy Maximum Power Point Tracking (MPPT) controller using Learning Automata (LA) algorithm is proposed in this paper. The optimal duty cycle of the DC-DC converter circuit is obtained using LA for various environmental conditions through learning process. The fuzzy MPPT controller is developed using the information collected by LA through the learning process. The proposed model is developed and tested using MATLAB for standard test conditions of PV, constant temperature and varying irradiation level, constant irradiation and varying temperature level, and varying temperature and varying irradiation level. The results obtained using the proposed fuzzy MPPT are compared with the conventional Perturb and Observe (P&O) MPPT and variable step size Fuzzy MPPT based PV system. The experimental set up is developed and the test is conducted under different conditions for the solar PV system with P&O MPPT and the proposed LA Fuzzy MPPT. The results show that the proposed LA based Fuzzy MPPT method is more accurate and its tracking response is faster.
Keywords: Learning Automata, Pursuit Algorithm, Maximum Power Point Tracking, Fuzzy, photovoltaic, MATLAB
