Journal of Solar Energy Engineering

Volume: Page/CID:

The Performance of Wind Turbine Smart Rotor Control Approaches During Extreme Loads
Reducing the loads experienced by wind turbine rotor blades can lower the cost of energy of wind turbines. “Smart rotor control” concepts have emerged as a solution to reduce fatigue loads...

Preliminary Study on a Solar Water Heater Using Supercritical Carbon Dioxide as Working Fluid
In this paper, a solar water heater using supercritical carbon dioxide as working fluid is proposed and experimentally studied. For supercritical carbon dioxide, a small change in temperature or press...

J. Sol. Energy Eng. / Volume 132 / Issue 1 / Research Papers

Wind Speed Estimation Algorithm in the Presence of Observation Noise

J. Sol. Energy Eng. -- February 2010 -- Volume 132, Issue 1, 011009 (6 pages)
doi:10.1115/1.4000604

You are not logged into the ASME Digital Library.
Log in

ABSTRACT

REFERENCES (13)

CITING ARTICLES

Author(s):
Ken Mok, Senior Engineer
Qualcomm Incorporated, 5775 Morehouse Drive, San Diego, CA 92121

Astochastic hub-height wind speed estimation algorithm for wind turbines, whichrequires only the rotor angular velocity measurement in the presenceof observation noise is proposed. It is assumed that thepower curve and the total inertia of the rotor areknown a priori. We use the maximum likelihood estimator toidentify the hub-height wind speed, which is formulated as oneof the state variables in the nonlinear model. The theoryand algorithm are verified by both simulated and experimental datain the presence of measurement noise. The effects of theinitial guess, the noise variance, and the time history arediscussed.