Rotor Speed Dependent Yaw Control of Wind Turbines Based on Empirical Data

Kragh, Knud Abildgaard; Fleming, Paul

doi:10.2514/6.2012-1018

Cited by 36 publications

(34 citation statements)

References 4 publications

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“…Furthermore, a study of the yaw error of an experimental pitch‐regulated turbine shows that the magnitude of the yaw error depends on the rotor speed. In the investigated rotor speed range, it is shown that the mean yaw error varies from approximately 0° at standstill to approximately 15° at rated rotational speed. Hence, existing studies indicate that significant yaw errors can be observed for operating turbines and that mean yaw errors might be eliminated through calibration.…”

Section: Introductionmentioning

confidence: 99%

Potential of power gain with improved yaw alignment

Kragh

Hansen

2014

Wind Energ.

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One of the primary criteria for extracting energy from the wind using horizontal axis upwind wind turbines is the ability to align the rotor axis with the dominating wind direction. The conventional way of estimating the direction of the incoming flow is by using transducers placed atop the nacelle and downwind of the rotor. Recent studies have suggested methods based on advanced upwind measurement technologies for estimating the inflow direction and improving the yaw alignment. In this study, the potential of increased power output with improved yaw alignment is investigated by assessing the performance of a current measurement and yaw control system. The performance is assessed by analyzing data containing upwind wind speed and direction measurements from a met mast, and yaw angle and power production measurements from an operating offshore wind turbine. The results of the analysis indicate that the turbine is operating with a wind speed‐dependent yaw error distribution. The theoretical annual energy production loss due to the yaw error distribution of the existing system is estimated to approximately 0.2%. Copyright © 2014 John Wiley & Sons, Ltd.

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Section: Introductionmentioning

confidence: 99%

Potential of power gain with improved yaw alignment

Kragh

Hansen

2014

Wind Energ.

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“…The baseline pitch and torque controller is as close as possible to a typical commercial wind turbine controller, designed and tuned as described in [14], [15], [2]. The baseline controller has been in operation in its current state since October 2011 and has been used as a reference in other published and ongoing studies [16]. In this paper, we augment the baseline controller with damping controllers designed in different ways.…”

Section: A the Cart3mentioning

confidence: 98%

Field testing a wind turbine drivetrain/tower damper using advanced design and validation techniques

Fleming

Wingerden

Scholbrock

et al. 2013

2013 American Control Conference

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As an ongoing trend, the design of wind turbines is moving towards larger machines with components optimized for cost effectiveness. This leads to very large and flexible structures with lightly damped modes. Good control design is becoming more essential to ensure safe and stable operation over the life of the turbine. Additionally, there is growing interest in expanding the number of sensors and actuators available for closed-loop control. The increasing number of control variables in modern wind turbines will necessitate model-based controller design to handle the complexity of the flexible and coupled control loops in an effective and robust way.Recent literature in wind energy has explored the use of modern control design techniques such as state-space and robust control design methods and closed-loop system identification for model identification. However, this literature is, to date, mostly confined to simulation studies. Field testing is necessary to demonstrate the effectiveness of advanced design and validation techniques in a practical application. In this paper, we design two alternative dampers for the lightly damped drivetrain and tower modes of an experimental turbine. One design is based on classical iterative design approaches, while the other uses an H ∞ approach. The two controllers are then validated using two alternative methods: the traditional extended field test and a relatively short system identification experiment. The paper demonstrates that even in this sub-problem of wind turbine control consisting of only two loops, the use of advanced design and validation techniques is very effective at converging quickly to good control designs and quickly assessing their performance.

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“…The implementation adapted from [8] and schematically depicted in Figure 5, is slightly adjusted to allow for yaw-angle offsets. Two distinct low-pass filters on the yaw-error signal Y MErr are employed.…”

Section: Yaw-rate Controlmentioning

confidence: 99%

“…The DRC is provided with a toolbox consisting of regularly used (control) functions and filters to allow rapid development and implementation of new contributions. Remarkable functionality of the DRC is the ability to activate and switch between conventional yaw-rate [8] and novel yaw-by-IPC control implementations [9].…”

Section: Introductionmentioning

confidence: 99%

Delft Research Controller: an open-source and community-driven wind turbine baseline controller

Mulders

Wingerden

2018

J. Phys.: Conf. Ser.

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Abstract. Wind energy research groups from various disciplines generally use self-developed baseline wind turbine control implementations and tunings, which complicates the evaluation and comparison of new control algorithms. To solve this problem, the Delft Research Controller (DRC) provides an open, modular and fully adaptable baseline wind turbine controller to the scientific community. New control implementations can be added to the existing baseline controller, and in this way, convenient assessments of the proposed algorithms is possible.Because of the open character and modular set-up, scientists are able to collaborate and contribute in making continuous improvements to the code. The DRC is being developed in Fortran and uses the Bladed-style DISCON controller interface. The compiled controller is configured by a single control settings parameter file, and can work with any wind turbine model and simulation software using the DISCON interface. Baseline parameter files are supplied for the NREL 5-MW and DTU 10-MW reference wind turbines.

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Rotor Speed Dependent Yaw Control of Wind Turbines Based on Empirical Data

Cited by 36 publications

References 4 publications

Potential of power gain with improved yaw alignment

Potential of power gain with improved yaw alignment

Field testing a wind turbine drivetrain/tower damper using advanced design and validation techniques

Delft Research Controller: an open-source and community-driven wind turbine baseline controller

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