Title :
A fuzzy logic control method for MPPT of PV systems
Author :
Noman, Abdullah M. ; Addoweesh, Khaled E. ; Mashaly, Hussein M.
Author_Institution :
Electr. Eng. Dept., King Saud Univ., Riyadh, Saudi Arabia
Abstract :
Maximum power point trackers are so important in photovoltaic systems to increase their efficiency. Many methods have been proposed to achieve the maximum power that the PV modules are capable of producing under different weather conditions. This paper proposed an intelligent method for maximum power point tracking based on fuzzy logic controller. The system consists of a photovoltaic solar module connected to a DC-DC Buck-boost converter. The system has been experienced under disturbance in the photovoltaic temperature and irradiation level. The simulation results show that the proposed maximum power tracker could track the maximum power accurately and successfully in all condition tested. Comparison of different performance parameters such as: tracking efficiency and response time of the system shows that the proposed method gives higher efficiency and better performance than the conventional perturbation and observation method.
Keywords :
fuzzy control; maximum power point trackers; photovoltaic power systems; power generation control; DC-DC buck-boost converter; MPPT; PV modules; fuzzy logic control method; intelligent method; irradiation level; maximum power point trackers; observation method; performance parameters; perturbation method; photovoltaic solar module; photovoltaic temperature; response time; tracking efficiency; weather conditions; MOSFET circuits; Niobium; Tin;
Conference_Titel :
IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4673-2419-9
Electronic_ISBN :
1553-572X
DOI :
10.1109/IECON.2012.6389174