||Wind Turbine Modelling, Control and Fault Detection
||Poulsen, Niels Kjølstad (Mathematical Statistics, Department of Informatics and Mathematical Modeling, Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark)
Niemann, Hans Henrik (Automation and Control, Department of Electrical Engineering, Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark)
||Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark
||Wind turbines are subject to dynamic loading due to both stochastic wind
speed variation caused by turbulence and periodic wind speed variation caused
by wind shear and the tower shadow effect.
Therefore, a detailed non-linear wind turbine model capable of simulating these
effects is developed and described in detail. A linearised periodic state space
description of a simplified version of the non-linear model is obtained as a function
of the rotor azimuth angle. From this, a pitch control scheme is developed,
using individual pitch action to regulate the turbines speed and power output.
Sensor noise on measurements taken from the wind turbine is simulated, and
a Kalman filter is used to estimate the state. The Kalman filter also acts as a
residual generator for fault detection, and a cumulative sum (CUSUM) test is
used to evaluate the residuals. A fault, in the form of a pitch misalignment is
detected using blade root bending moment measurements.
||Technical University of Denmark (DTU) : Kgs. Lyngby, Denmark
Creation date: 2010-09-03
Update date: 2010-10-28