Hur, S. and Recalde-Camacho, L. and Leithead, W. E. (2017) Detection and compensation of anomalous conditions in a wind turbine. Energy. pp. 1-33. ISSN 1873-6785 (In Press)
Hur_etal_Energy_2017_anomalous_conditions_in_a_wind_turbine.pdf - Accepted Author Manuscript
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Anomalies in the wind field and structural anomalies can cause unbalanced loads on the components and structure of a wind turbine. For example, large unbalanced rotor loads could arise from blades sweeping through low level jets resulting in wind shear, which is an example of anomaly. The lifespan of the blades could be increased if wind shear can be detected and appropriately compensated. The work presented in this paper proposes a novel anomaly detection and compensation scheme based on the Extended Kalman Filter. Simulation results are presented demonstrating that it can successfully be used to facilitate the early detection of various anomalous conditions, including wind shear, mass imbalance, aerodynamic imbalance and extreme gusts, and also that the wind turbine controllers can subsequently be modified to take appropriate diagnostic action to compensate for such anomalous conditions.
|Keywords:||wind turbine anomaly detection, anomaly compensation, wind turbine control, extended kalman filter, Electrical engineering. Electronics Nuclear engineering, Environmental engineering, Energy Engineering and Power Technology, Renewable Energy, Sustainability and the Environment|
|Subjects:||Technology > Electrical engineering. Electronics Nuclear engineering
Technology > Engineering (General). Civil engineering (General) > Environmental engineering
|Department:||Faculty of Engineering > Electronic and Electrical Engineering|
|Depositing user:||Pure Administrator|
|Date Deposited:||07 Feb 2017 09:29|
|Last modified:||24 Apr 2017 04:08|