Title: Maximum power point tracking for wind energy conversion systems based on fuzzy modelling and control
Authors: Ayman Francees; Abdel-Latif Elshafei
Addresses: Electrical and Computer Department, Faculty of Engineering Sciences, Sinai University, North Sinai – Al Arish – Al Masaid, Egypt. ' Electric Power and Machines Department, Faculty of Engineering, Cairo University, Giza 12613, Egypt
Abstract: Wind energy conversion systems (WECS) have merits as environmentally friendly and renewable sources of energy. Because of its stochastic variations, power management concepts are essential to extract as much power as possible from the wind when it becomes available. The purpose of this paper is to present a TSK fuzzy model, which represents the turbine characteristic for maximum power point tracking (MPPT) in WECS. The proposed TSK fuzzy model allows the generator to track the optimal operation points of the wind turbine system under fluctuating wind conditions. This model does not require the knowledge of the wind speed. The TSK fuzzy model identification is based on subtractive clustering and least squares methods. A fuzzy logic controller is compared to a conventional PI controller in regulating the generator rotor speed. The fuzzy controller can cope with more operating conditions with improved performance.
Keywords: wind energy conversion systems; WECS; maximum power point tracking; MPPT; fuzzy modelling; fuzzy PI controllers; fuzzy control; wind power; renewable energy; fuzzy logic; generator rotor speed.
International Journal of Renewable Energy Technology, 2012 Vol.3 No.1, pp.36 - 57
Received: 29 Dec 2009
Accepted: 30 Sep 2010
Published online: 29 Oct 2014 *