scholarly journals Maintenance optimization for a single wind turbine component under time-varying costs

2021 ◽  
Author(s):  
Thijs Nicolaas Schouten ◽  
Rommert Dekker ◽  
Mustafa Hekimoğlu ◽  
Ayse Sena Eruguz
Keyword(s):  
Wind Turbine ◽  
Maintenance Optimization ◽  
Time Varying ◽  
Turbine Component

A control-oriented large eddy simulation of wind turbine wake considering effects of Coriolis force and time-varying wind conditions

Energy ◽  
2022 ◽  
Vol 239 ◽  
pp. 121876
Author(s):  
Guo-Wei Qian ◽  
Yun-Peng Song ◽  
Takeshi Ishihara
Keyword(s):  
Large Eddy Simulation ◽  
Wind Turbine ◽  
Coriolis Force ◽  
Time Varying ◽  
Eddy Simulation ◽  
Large Eddy ◽  
Turbine Wake ◽  
Wind Turbine Wake

Condition based maintenance optimization for offshore wind turbine considering opportunities based on neural network approach

2018 ◽  
Vol 74 ◽  
pp. 69-79 ◽  
Author(s):  
Yang Lu ◽  
Liping Sun ◽  
Xinyue Zhang ◽  
Feng Feng ◽  
Jichuan Kang ◽  
...  
Keyword(s):  
Neural Network ◽  
Wind Turbine ◽  
Condition Based Maintenance ◽  
Offshore Wind ◽  
Offshore Wind Turbine ◽  
Maintenance Optimization ◽  
Network Approach ◽  
Neural Network Approach

Aeroelastic Suppression of Wind Turbine Blade Using Trailing-Edge Flap

2013 ◽  
Author(s):  
Nailu Li ◽  
Mark J. Balas
Keyword(s):  
Adaptive Control ◽  
Wind Turbine ◽  
Stability Theorem ◽  
Time Varying ◽  
Aeroelastic System ◽  
Aerodynamic Loads ◽  
Proposed Model ◽  
Control Scheme ◽  
Trailing Edge Flap ◽  
Adaptive Control Scheme

The variation of aeroelastic system dynamics is treated as the change of time-varying aerodynamic loads along the operation trajectory of a spinning wind turbine. An Adaptive Control scheme is introduced to suppress flutter based on the proposed model. The robustness and effectiveness of Adaptive Control is shown by simulation results. For stability analysis, Adaptive Stability Theorem is proved theoretically by Kalman-Yacubovic Lemma and demonstrated numerically by certain cases.

Disturbance Observer-Based Pitch Control of Wind Turbines for Enhanced Speed Regulation

2017 ◽  
Vol 139 (7) ◽  
Author(s):  
Yuan Yuan ◽  
X. Chen ◽  
J. Tang
Keyword(s):  
Wind Turbine ◽  
Wind Turbines ◽  
Disturbance Observer ◽  
Low Frequency ◽  
Time Varying ◽  
Control Loop ◽  
Wind Speeds ◽  
Speed Regulation ◽  
Guaranteed Stability ◽  
Linearized Model

Time-varying unknown wind disturbances influence significantly the dynamics of wind turbines. In this research, we formulate a disturbance observer (DOB) structure that is added to a proportional-integral-derivative (PID) feedback controller, aiming at asymptotically rejecting disturbances to wind turbines at above-rated wind speeds. Specifically, our objective is to maintain a constant output power and achieve better generator speed regulation when a wind turbine is operated under time-varying and turbulent wind conditions. The fundamental idea of DOB control is to conduct internal model-based observation and cancelation of disturbances directly using an inner feedback control loop. While the outer-loop PID controller provides the basic capability of suppressing disturbance effects with guaranteed stability, the inner-loop disturbance observer is designed to yield further disturbance rejection in the low frequency region. The DOB controller can be built as an on–off loop, that is, independent of the original control loop, which makes it easy to be implemented and validated in existing wind turbines. The proposed algorithm is applied to both linearized and nonlinear National Renewable Energy Laboratory (NREL) offshore 5-MW baseline wind turbine models. In order to deal with the mismatch between the linearized model and the nonlinear turbine, an extra compensator is proposed to enhance the robustness of augmented controller. The application of the augmented DOB pitch controller demonstrates enhanced power and speed regulations in the above-rated region for both linearized and nonlinear plant models.

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