Load reduction of wind turbines using receding horizon control

Soltani, Mohsen; Wisniewski, Rafael; Brath, Per; Boyd, Stephen

doi:10.1109/cca.2011.6044407

Cited by 69 publications

(54 citation statements)

References 12 publications

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“…The goal is to control a wind turbine P reducing both power fluctuations and the incurred fatigue, see [10], [11], [27]. However, the inclusion of the fatigue damage given by (7) into (16) is not straightforward, due to the Preisach hysteresis operator.…”

Section: B Parameter Identification For Damage Calculationmentioning

confidence: 99%

“…In the wind turbine control context, current control methods are based on minimization of certain norms of the stress on different components of the wind turbine, which are hoped to reduce fatigue, but are not a trustful characterization of the damage [10], [11]. Other approaches, such as taking the variance of the stress are not a direct representation of fatigue, as mentioned in [12].…”

Section: Introductionmentioning

confidence: 99%

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Fatigue load modeling and control for wind turbines based on hysteresis operators

Berglind

Wisniewski

Soltani

2015

2015 American Control Conference (ACC)

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Abstract-The focus of this work is on fatigue load modeling and controller design for the wind turbine level. The main purpose is to include a model of the damage effects caused by the fatigue of the wind turbine components in the controller design process. This paper addresses an online fatigue estimation method based on hysteresis operators, which can be used in control loops. Furthermore, we propose a model predictive control (MPC) strategy that incorporates the online fatigue estimation through the objective function, where the ultimate goal in mind is to reduce the fatigue load of the wind turbine, while tracking a desired power reference. The outcome is an adaptive or self-tuning MPC scheme for wind turbine fatigue load reduction. The results of the proposed strategy are then compared against a baseline MPC.

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Section: B Parameter Identification For Damage Calculationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fatigue load modeling and control for wind turbines based on hysteresis operators

Berglind

Wisniewski

Soltani

2015

2015 American Control Conference (ACC)

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“…The main idea is to control a wind turbine P reducing both output power fluctuations and the incurred fatigue, see [6,7]. Nevertheless, the damage estimate is given by a hysteretic element H, namely a discretised Preisach operator, which needs to be incorporated into the MPC strategy.…”

Section: Problem 6 (Baseline Mpc Strategy)mentioning

confidence: 99%

“…The motivation for this work is to facilitate the shortcomings of the RFC method, which has an algorithmic non-linear structure, requiring deletions as well as a significant history window, and thus used mainly as a post-processing tool. In the wind turbine control context, current control methods are based on minimisation of certain norms of the stress on different components of the wind turbine, which are expected to reduce fatigue, but are not a reliable characterisation of the damage [6,7]. Other approaches, such as taking the variance of a stress are not a direct representation of fatigue, as mentioned in [8].…”

Section: Introductionmentioning

confidence: 99%

Fatigue damage estimation and data‐based control for wind turbines

Barradas-Berglind

Wisniewski

Soltani

2015

IET Control Theory & Applications

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Abstract:The focus of this work is on fatigue estimation and data-based controller design for wind turbines. The main purpose is to include a model of the fatigue damage of the wind turbine components in the controller design and synthesis process. This study addresses an online fatigue estimation method based on hysteresis operators, which can be used in control loops. The authors propose a data-based model predictive control (MPC) strategy that incorporates an online fatigue estimation method through the objective function, where the ultimate goal in mind is to reduce the fatigue damage of the wind turbine components. The outcome is an adaptive or self-tuning MPC strategy for wind turbine fatigue damage reduction, which relies on parameter identification on previous measurement data. The results of the proposed strategy are compared with a baseline model predictive controller.

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“…2,3 However, the question of how best to use these measurements to detect an oncoming gust remains open, as does the question of how best to incorporate such information for use within a preview control scheme (e.g. 4,5,6,7 ). The success of such controllers will inevitably be reliant upon the accuracy of the predictions of the incident wind field.…”

Section: Introductionmentioning

confidence: 99%

Real-time wind field reconstruction from LiDAR measurements using a dynamic wind model and state estimation

Towers

Jones

2014

Wind Energ.

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The use of light detection and ranging (LiDAR) instruments offer many potential benefits to the wind energy industry. Although much effort has been invested in developing such instruments, the fact remains that they provide limited spatio-temporal velocity measurements of the wind field. Moreover, LiDAR measurements only provide the radial (line-of-sight) velocity component of the wind, making it difficult to precisely determine wind magnitude and direction, owing to the so-called 'cyclops' dilemma. Motivated by a desire to extract more information from typical LiDAR data, this paper aims to show that it is possible to accurately estimate, in a real-time fashion, the radial and tangential velocity components of the wind field. We show how such reconstructions can be generated through the synthesis of an unscented Kalman filter that employs a low-order dynamic model of the wind to estimate the unmeasured velocities within the wind field, using repeated measurement updates from typical nacelle-mounted LiDAR instruments. This approach is validated upon synthetic data generated from large eddy simulations of the atmospheric boundary layer. The accuracy of the wind field estimates are validated across a variety of beam configurations, look directions, atmospheric stabilities and imperfect measurement conditions. The main outcome of this paper is a technique that offers the potential to accurately reconstruct wind fields from LiDAR data, overcoming the cyclops dilemma in the process. The ultimate aim of this research is to provide reliable gust detection warning systems to offshore construction workers, in addition to accurate wind field estimates for use in preview turbine pitch control systems.

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Load reduction of wind turbines using receding horizon control

Cited by 69 publications

References 12 publications

Fatigue load modeling and control for wind turbines based on hysteresis operators

Fatigue load modeling and control for wind turbines based on hysteresis operators

Fatigue damage estimation and data‐based control for wind turbines

Real-time wind field reconstruction from LiDAR measurements using a dynamic wind model and state estimation

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