A model-based robust icing detection and estimation scheme for wind turbines

In this paper the problem of model-based icing detection for wind turbines is considered. Based on a robust observer of the rotor angular speed, the increase of inertia and aerodynamic torque due to icing can be detected. Moreover, incorporating an online approximator, the amount of icing can be also estimated. Such estimation can be used to define a threshold with an associated logic to stop the turbine when the icing appears to be too severe.

[1]  N. Mohan,et al.  Control of a Doubly Fed Induction Wind Generator Under Unbalanced Grid Voltage Conditions , 2007, IEEE Transactions on Energy Conversion.

[2]  Maria Letizia Corradini,et al.  Fully sensorless robust control of variable-speed wind turbines for efficiency maximization , 2013, Autom..

[3]  R. Ahshan,et al.  Wavelet-Based Signal Processing Method for Detecting Ice Accretion on Wind Turbines , 2012, IEEE Transactions on Sustainable Energy.

[4]  Minghao Zhao,et al.  Research on fault mechanism of icing of wind turbine blades , 2009, 2009 World Non-Grid-Connected Wind Power and Energy Conference.

[5]  Fernando D. Bianchi,et al.  Wind Turbine Control Systems: Principles, Modelling and Gain Scheduling Design , 2006 .

[6]  L. Alvarez-Icaza,et al.  Real-time identification of wind turbine rotor power coefficient , 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

[7]  Frank L. Lewis,et al.  Adaptive Approximation Based Control-Unifying Neural, Fuzzy and Traditional Adaptive Approximation Approaches-[Book review; J. A. Farrell and M. M. Polycarpou] , 2007 .

[8]  R.G. Harley,et al.  Control of IPM Synchronous Generator for Maximum Wind Power Generation Considering Magnetic Saturation , 2007, 2007 IEEE Industry Applications Annual Meeting.

[9]  T. Myers.  Extension to the Messinger Model for Aircraft Icing , 2001 .

[10]  Olivier Parent,et al.  Anti-icing and de-icing techniques for wind turbines: Critical review , 2011 .

[11]  Peter Frohboese,et al.  Effects of Icing on Wind Turbine Fatigue Loads , 2007 .

[12]  Alessandro Astolfi,et al.  Estimation of Rotor Position and Speed of Permanent Magnet Synchronous Motors With Guaranteed Stability , 2011, IEEE Transactions on Control Systems Technology.

[13]  Torgeir Moan,et al.  Wind turbine aerodynamic response under atmospheric icing conditions , 2014 .

[14]  M. Burgos Payán,et al.  Estimating wind turbines mechanical constants , 2007 .

[15]  Lasse Makkonen,et al.  Models for the growth of rime, glaze, icicles and wet snow on structures , 2000, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[16]  Ying Hua Han,et al.  Grid Integration of Wind Energy Conversion Systems , 2000 .

[17]  Maria Letizia Corradini,et al.  A sensorless speed-tacking controller for permanent magnet synchronous motors with uncertain parameters , 2014 .

[18]  Moulay A. Akhloufi,et al.  Outdoor Ice Accretion Estimation of Wind Turbine Blades Using Computer Vision , 2014, 2014 Canadian Conference on Computer and Robot Vision.

[19]  L. Battisti.  Wind Turbines in Cold Climates , 2015 .

[20]  Josep Pou,et al.  Study and experimental verification of control tuning strategies in a variable speed wind energy conversion system , 2011 .