Requirements on Super-Short-Term Wind Speed Predictions for Model Predictive Wind Turbine Control

Dickler, Sebastian; Wiens, Marcus; Thönnißen, Frederik; Jassmann, Uwe; Abel, Dirk

doi:10.23919/ecc.2019.8795826

Cited by 6 publications

(4 citation statements)

References 11 publications

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“…Also in the field of renewable energies, Dickler et al [27] applied a time-variant MPC for load alleviation and power leveling of wind turbines, where the model for the mechanical demand on the turbine was linearized at every control step for the current prediction and control horizon. The wind speed as one major load on the mechanical structure was handled by incorporating wind speed predictions.…”

Section: Building Climate and Energymentioning

confidence: 99%

Review on model predictive control: an engineering perspective

Schwenzer

Bergs

et al. 2021

Int J Adv Manuf Technol

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319

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Model-based predictive control (MPC) describes a set of advanced control methods, which make use of a process model to predict the future behavior of the controlled system. By solving a—potentially constrained—optimization problem, MPC determines the control law implicitly. This shifts the effort for the design of a controller towards modeling of the to-be-controlled process. Since such models are available in many fields of engineering, the initial hurdle for applying control is deceased with MPC. Its implicit formulation maintains the physical understanding of the system parameters facilitating the tuning of the controller. Model-based predictive control (MPC) can even control systems, which cannot be controlled by conventional feedback controllers. With most of the theory laid out, it is time for a concise summary of it and an application-driven survey. This review article should serve as such. While in the beginnings of MPC, several widely noticed review paper have been published, a comprehensive overview on the latest developments, and on applications, is missing today. This article reviews the current state of the art including theory, historic evolution, and practical considerations to create intuitive understanding. We lay special attention on applications in order to demonstrate what is already possible today. Furthermore, we provide detailed discussion on implantation details in general and strategies to cope with the computational burden—still a major factor in the design of MPC. Besides key methods in the development of MPC, this review points to the future trends emphasizing why they are the next logical steps in MPC.

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Section: Building Climate and Energymentioning

confidence: 99%

Review on model predictive control: an engineering perspective

Schwenzer

Bergs

et al. 2021

Int J Adv Manuf Technol

Self Cite

319

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“…In this paper, an optimal DTG control strategy is proposed. To obtain the optimal modification factors under varying wind speeds, the persistence method [18]- [22] is applied. It treats the wind speed in a very short time horizon as a constant value.…”

Section: Introductionmentioning

confidence: 99%

Optimal Decreased Torque Gain Control for Maximizing Wind Energy Extraction Under Varying Wind Speed

Guo

Cai

Xie

et al. 2023

Journal of Modern Power Systems and Clean Energy

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Optimal torque (OT) control is a widely used method for maximum power point tracking (MPPT) due to its simplicity. In order to overcome the adverse impacts of turbulent wind speed variations on MPPT, in several methods, modification factors have been proposed to dynamically modify the ideal power curve for OT control. However, this paper finds that the update cycles used in existing methods to adjust power curve modification factors are very long and hence these factors are difficult to be updated in a timely manner along with the wind speed variations. This thereby may deteriorate the effectiveness of wind energy extraction. Therefore, an optimal decreased torque gain (DTG) control method is proposed in this paper. Based on the persistence method, an offline mapping from the wind speed and rotor speed to optimal modification factors is established via optimal control theory. The power curve can be periodically modified online through the mapping relationship. In this method, the update cycles for these power curve modification factors are shortened from tens of minutes to seconds. The simulations and experiments show that the proposed method is more efficient than others in terms of energy extraction under varying wind speeds, especially for turbulent wind cases.

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“…However, wind speed varies with the site; thus, each wind turbine needs to be measured individually, and the extensive use of LIDAR will increase costs. As for indirect estimate, there are also some researchers that introduce a method of wind speed reconstruction based on rotor speed and power efficiency [19][20][21][22]. These studies are progressing, but they usually require a long estimation period; therefore, the effect of suppressing the dynamic response caused by extreme gust is poor [22,23].…”

Section: Introductionmentioning

confidence: 99%

Study of Tower Clearance Safety Protection during Extreme Gust Based on Wind Turbine Monitoring Data

et al. 2022

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Large-scale wind turbines often face the problem of tower clearance safety under extreme gust conditions. Since gust intensity is positively correlated with the change rate of the generator’s speed, a gust identification method is proposed based on wind turbine monitoring data. Furthermore, a novel tower clearance safety protection strategy is proposed, which superimposes some additional speed requirements on the basis of normal pitch rate when identifying extreme gust so as to alleviate the dynamic response of the wind turbine. Simulations and comparison of a 5 MW wind turbine, before and after applying the new strategy, showed that the new strategy can induce an increase in pitch angle for the wind turbine and, simultaneously, avoids the emergency stop caused by the generator’s overspeed. Meanwhile, when the new strategy is adopted, the blade tip’s deformation and the load on the top of the tower are reduced by 19.9% and 52.2%, respectively. Therefore, the proposed strategy can not only protect the safety of the wind turbine but it also reduces costs.

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Requirements on Super-Short-Term Wind Speed Predictions for Model Predictive Wind Turbine Control

Cited by 6 publications

References 11 publications

Review on model predictive control: an engineering perspective

Review on model predictive control: an engineering perspective

Optimal Decreased Torque Gain Control for Maximizing Wind Energy Extraction Under Varying Wind Speed

Study of Tower Clearance Safety Protection during Extreme Gust Based on Wind Turbine Monitoring Data

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