Title :
Fuzzy logic based Maximum Power Point Tracker for a Photovoltaic system
Author :
Padmanabhan, Vipin ; Beena, V. ; Jayaraju, M.
Author_Institution :
Dept. of Electr. & Electron. Eng., Thejus Eng. Coll., Thrissur, India
Abstract :
To meet the future energy requirement and to give quality and pollution free supply to growing and environment conscious population, the present world is giving special attention to natural, clean and renewable energy sources. Due to growing demand for electrical energy and environmental issues such as pollution and global warming effect, solar energy is considered among one of the best options for generating clean energy. In this paper a fuzzy logic controller (FLC) is used as an intelligent method for Maximum Power Point Tracking (MPPT) for a Photo Voltaic (PV) system. Fuzzy logic has been used for tracking the Maximum Power Point of PV systems because it has the advantages of being robust, relatively simple to design and does not require the knowledge of an exact model.
Keywords :
air pollution control; fuzzy control; maximum power point trackers; photovoltaic power systems; power generation control; renewable energy sources; solar power stations; FLC; MPPT; PV system; clean energy generation; electrical energy demand; environment conscious population; environmental issue; fuzzy logic controller; global warming effect; intelligent method; maximum power point tracker; photovoltaic system; pollution free supply; renewable energy source; solar energy; Arrays; Fuzzy logic; Mathematical model; Photovoltaic cells; Photovoltaic systems; Pollution; Switches; Fuzzy Logic Controller (FLC); MPPT algorithms and Photovoltaic; Maximum Power Point (MPP); Maximum Power Point Tracking (MPPT);
Conference_Titel :
Power, Signals, Controls and Computation (EPSCICON), 2012 International Conference on
Conference_Location :
Thrissur, Kerala
Print_ISBN :
978-1-4673-0446-7
DOI :
10.1109/EPSCICON.2012.6175255
