Mathematics – Optimization and Control
Scientific paper
2010-06-28
Mathematics
Optimization and Control
10 pages, 4 figures
Scientific paper
This paper addresses the problem of controlling a variable-speed wind turbine with a Doubly Fed Induction Generator (DFIG), modeled as an electromechanically-coupled nonlinear system with rotor voltages and blade pitch angle as its inputs, active and reactive powers as its outputs, and most of the aerodynamic and mechanical parameters as its uncertainties. Using a blend of linear and nonlinear control strategies (including feedback linearization, pole placement, uncertainty estimation, and gradient-based potential function minimization) as well as time-scale separation in the dynamics, we develop a controller that is capable of maximizing the active power in the Maximum Power Tracking (MPT) mode, regulating the active power in the Power Regulation (PR) mode, seamlessly switching between the two modes, and simultaneously adjusting the reactive power to achieve a desired power factor. The controller consists of four cascaded components, uses realistic feedback signals, and operates without knowledge of the C_p-surface, air density, friction coefficient, and wind speed. Finally, we show the effectiveness of the controller via simulation with a realistic wind profile.
Guo Yi
Hosseini Seyed Hossein
Jiang John N.
Ramakumar Rama G.
Tang Choon Yik
No associations
LandOfFree
Voltage/Pitch Control for Maximization and Regulation of Active/Reactive Powers in Wind Turbines with Uncertainties does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Voltage/Pitch Control for Maximization and Regulation of Active/Reactive Powers in Wind Turbines with Uncertainties, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Voltage/Pitch Control for Maximization and Regulation of Active/Reactive Powers in Wind Turbines with Uncertainties will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-616085