Wind Speed Estimation Algorithm in the Presence of Observation NoiseSource: Journal of Solar Energy Engineering:;2010:;volume( 132 ):;issue: 001::page 11009Author:Ken Mok
DOI: 10.1115/1.4000604Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: A stochastic hub-height wind speed estimation algorithm for wind turbines, which requires only the rotor angular velocity measurement in the presence of observation noise is proposed. It is assumed that the power curve and the total inertia of the rotor are known a priori. We use the maximum likelihood estimator to identify the hub-height wind speed, which is formulated as one of the state variables in the nonlinear model. The theory and algorithm are verified by both simulated and experimental data in the presence of measurement noise. The effects of the initial guess, the noise variance, and the time history are discussed.
keyword(s): Wind velocity , Algorithms AND Noise (Sound) ,
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| contributor author | Ken Mok | |
| date accessioned | 2017-05-09T00:40:49Z | |
| date available | 2017-05-09T00:40:49Z | |
| date copyright | February, 2010 | |
| date issued | 2010 | |
| identifier issn | 0199-6231 | |
| identifier other | JSEEDO-28426#011009_1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/144798 | |
| description abstract | A stochastic hub-height wind speed estimation algorithm for wind turbines, which requires only the rotor angular velocity measurement in the presence of observation noise is proposed. It is assumed that the power curve and the total inertia of the rotor are known a priori. We use the maximum likelihood estimator to identify the hub-height wind speed, which is formulated as one of the state variables in the nonlinear model. The theory and algorithm are verified by both simulated and experimental data in the presence of measurement noise. The effects of the initial guess, the noise variance, and the time history are discussed. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Wind Speed Estimation Algorithm in the Presence of Observation Noise | |
| type | Journal Paper | |
| journal volume | 132 | |
| journal issue | 1 | |
| journal title | Journal of Solar Energy Engineering | |
| identifier doi | 10.1115/1.4000604 | |
| journal fristpage | 11009 | |
| identifier eissn | 1528-8986 | |
| keywords | Wind velocity | |
| keywords | Algorithms AND Noise (Sound) | |
| tree | Journal of Solar Energy Engineering:;2010:;volume( 132 ):;issue: 001 | |
| contenttype | Fulltext |