Title :
Stochastic predictive tracking controller for maximum power point tracking in wind energy conversion system
Author :
Elnaggar, Mahmoud M. ; Fattah, Hossam A. Abdel ; Elshafei, Abdel Latif
Author_Institution :
Fac. of Eng., Cairo Univ., Cairo, Egypt
fDate :
Aug. 31 2013-Sept. 2 2013
Abstract :
This paper discusses the rotor speed tracking loop performance in maximum power point tracking (MPPT) in wind energy conversion system (WECS). A nontraditional loop configuration approach is used in which the aerodynamics torque is considered as loop disturbance. A generalized predictive control is used to achieve disturbance rejection and exact reference tracking. Penalty on control action change is applied to compromise between tracking performance and extracted power quality. Simulation results are provided to clarify the performance improvement of the proposed controller configuration over traditional controller (PI) with different wind profiles and different reference speed trajectory.
Keywords :
PI control; aerodynamics; maximum power point trackers; power conversion; predictive control; rotors; stochastic systems; tracking; wind power; MPPT; PI; WECS; aerodynamics torque; disturbance rejection; generalized predictive control; loop disturbance; maximum power point tracking; nontraditional loop configuration approach; power quality; reference speed trajectory; reference tracking; rotor speed tracking loop performance; stochastic predictive tracking controller; tracking performance; wind energy conversion system; wind profiles; Q measurement; Maximum power point tracking; Stochastic control; Wind energy;
Conference_Titel :
Modelling, Identification & Control (ICMIC), 2013 Proceedings of International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-0-9567157-3-9