Repetitive model predictive approach to individual pitch control of wind turbines

Friis, J; Nielsen, E. Ø.; Bonding, Jesper; Adegas, Fabiano Daher; Stoustrup, Jakob; Odgaard, Peter Fogh

doi:10.1109/cdc.2011.6160948

Cited by 34 publications

(20 citation statements)

References 8 publications

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“…Optimality conditions demand the notion of gradient-analytically or numerically computed-and closed forms, which are needed to predict the future; major sub-fields include convex optimization, 14 which can be solved in a numerically efficient way, combinatorial optimization, 15 which allows discrete decision variables in the problem formulation, and nonlinear programming. 16 One example among the optimization-based controllers is model predictive control or receding horizon control, which has been successfully used for wind turbine control due to the nature of the aforementioned control objectives, for example, Soltani et al, 17 Friis et al 18 and Schlipf et al 19 Particularly, objective (ii) becomes of special interest, posing the question of how to represent fatigue such that it can be incorporated in design of fatigue reduction control strategies for wind turbines.…”

Section: Wind Turbine Control and Load Alleviationmentioning

confidence: 99%

Representation of fatigue for wind turbine control

Barradas-Berglind

Wisniewski

2016

Wind Energy

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Fatigue is a critical factor in structures such as wind turbines exposed to harsh operating conditions, both in the design stage and in the control during their operation. In the present paper, the most recognized approaches to estimate the damage caused by fatigue in the component level are discussed and compared. The aim of this paper is to address the applicability of those fatigue damage estimation methods to control of wind turbines. Accordingly, for our discussion and comparison, we categorize fatigue estimation methods in a macroscopic scale as counting, spectral, stochastic and hysteresis operator methods. Copyright © 2016 John Wiley & Sons, Ltd.

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Section: Wind Turbine Control and Load Alleviationmentioning

confidence: 99%

Representation of fatigue for wind turbine control

Barradas-Berglind

Wisniewski

2016

Wind Energy

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“…In this case, separate actuators and controllers may be necessary, opening up even more control opportunities [14,46,47].…”

Section: Advanced Control Of Wind Turbinesmentioning

confidence: 99%

Overview of Modelling and Advanced Control Strategies for Wind Turbine Systems

Simani

2015

Energies

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Abstract:The motivation for this paper comes from a real need to have an overview of the challenges of modelling and control for very demanding systems, such as wind turbine systems, which require reliability, availability, maintainability, and safety over power conversion efficiency. These issues have begun to stimulate research and development in the wide control community particularly for these installations that need a high degree of "sustainability". Note that this represents a key point for offshore wind turbines, since they are characterised by expensive and/or safety critical maintenance work. In this case, a clear conflict exists between ensuring a high degree of availability and reducing maintenance times, which affect the final energy cost. On the other hand, wind turbines have highly nonlinear dynamics, with a stochastic and uncontrollable driving force as input in the form of wind speed, thus representing an interesting challenge also from the modelling point of view. Suitable control methods can provide a sustainable optimisation of the energy conversion efficiency over wider than normally expected working conditions. Moreover, a proper mathematical description of the wind turbine system should be able to capture the complete behaviour of the process under monitoring, thus providing an important impact on the control design itself. In this way, the control scheme could guarantee prescribed performance, whilst also giving a degree of "tolerance" to possible deviation of characteristic properties or system parameters from standard conditions, if properly included in the wind turbine model itself. The most important developments in advanced controllers for wind turbines are also briefly referenced, and open problems in the areas of modelling of wind turbines are finally outlined.

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“…The intention here is to make use of the dissipated energy in (7) as a measure or proxy for accumulated damage. We use the observation that z and y are bounded and H is continuous, hence for sufficiently large time T the primary contribution in dissipation is due to the supply rate S and thereby we can approximate (7) by the CCW supply rate integral (18) which after discretizing yields…”

Section: A Cost Functional Definitionmentioning

confidence: 99%

Wind turbine control with active damage reduction through energy dissipation

Barradas-Berglind

Jayawardhana

Wisniewski

2016

2016 American Control Conference (ACC)

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Abstract-In this paper we propose an active damage reduction control strategy for wind turbines based on dissipated energy. To this end we rely on the equivalences relating both damage in the rainflow counting sense and dissipated energy to the variations of Preisach hysteresis operators. Since dissipation theory is well suited for control systems, we adopt the dissipated energy of a Duhem hysteresis model that is described by a differential equation. Accordingly, we incorporate the dissipated energy into the optimal control problem formulation as a proxy to the damage. Lastly, the proposed strategy is evaluated with NREL's FAST high-fidelity non-linear wind turbine.

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Repetitive model predictive approach to individual pitch control of wind turbines

Cited by 34 publications

References 8 publications

Representation of fatigue for wind turbine control

Representation of fatigue for wind turbine control

Overview of Modelling and Advanced Control Strategies for Wind Turbine Systems

Wind turbine control with active damage reduction through energy dissipation

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