Load mitigation and power tracking capability for wind turbines using linear matrix inequality‐based control design

Pöschke, Florian; Gauterin, Eckhard; Kühn, Martin; Fortmann, Jens; Schulte, Horst

doi:10.1002/we.2516

Cited by 17 publications

(26 citation statements)

References 31 publications

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“…Further, the estimate determines the calculation of a feedforward term in the control input of the turbine. Details about the applied control scheme and its design process are discussed in (Pöschke et al, 2020). Whereas in (Pöschke et al, 2020) several degrees of freedom including tower or drivetrain dynamics are considered, the applied controller in this work uses the rotational dynamics as only degree of freedom and measured quantity.…”

Section: Control Designmentioning

confidence: 99%

“…Details about the applied control scheme and its design process are discussed in (Pöschke et al, 2020). Whereas in (Pöschke et al, 2020) several degrees of freedom including tower or drivetrain dynamics are considered, the applied controller in this work uses the rotational dynamics as only degree of freedom and measured quantity. The control design here follows the lines of the procedure for the rotational dynamics in (Pöschke et al, 2020).…”

Section: Control Designmentioning

confidence: 99%

“…Whereas in (Pöschke et al, 2020) several degrees of freedom including tower or drivetrain dynamics are considered, the applied controller in this work uses the rotational dynamics as only degree of freedom and measured quantity. The control design here follows the lines of the procedure for the rotational dynamics in (Pöschke et al, 2020). It embeds the feedback gain design into a linear matrix inequalities-based optimization problem involving the stability of the closed-loop dynamics.…”

Section: Control Designmentioning

confidence: 99%

“…On the wind turbine level, APC results in an enlarged operational range that needs to be coped by the wind turbine controller compared to the usual strategy that aims for a maximization of the power output in partial-load region and a limitation of power above rated wind speed (Aho et al, 2016;Pöschke et al, 2020;Jain et al, 2020). The operating trajectory that results in the desired power output, however, is not unique and therefore depends on the choice of the operational scheme encoded in the control strategy.…”

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confidence: 99%

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Evaluation of different APC operating strategies considering turbine loading and power dynamics for grid support

Pöschke

Schulte

2021

Preprint

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Abstract. This work focuses on the design, implementation, and implications of different operational strategies for wind turbines when providing active power control (APC). APC is a necessary functionality for contributing to the stabilization of the electrical grid. Specifically, two different operational strategies are used as the foundation for a model-based control design that allows the turbine to follow a given power demand. The first relies on keeping a constant rotational speed while varying the generator torque to match the power demand. The second approach varies both, the generator torque and rotational speed of the turbine to yield the desired power output. In the power reduction mode, both operational strategies employ the pitch to maintain the desired rotational speed of the turbine and therefore desired power output. The attainable power dynamics of the two closed-loop systems to varying power demands are analyzed and compared. Reduced-order models formulated as transfer functions and suitable for the integration into an upper-level control design are proposed. It is found that the first strategy involving only the generator torque while keeping a constant rotational speed provides significantly faster power control authority. Further, the resulting fatigue loading in turbulent wind conditions is briefly discussed for the two operational strategies, where constant operational storage is emulated to enable a bidirectional variation of the power output. Without any additional load reducing control loops, the results also suggest that this operational strategy is more favorable with regard to the resulting loading of the turbine structure. The simulation studies are conducted for the 5 MW reference turbine using FAST.

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Section: Control Designmentioning

confidence: 99%

Section: Control Designmentioning

confidence: 99%

Section: Control Designmentioning

confidence: 99%

mentioning

confidence: 99%

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Evaluation of different APC operating strategies considering turbine loading and power dynamics for grid support

Pöschke

Schulte

2021

Preprint

Self Cite

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“…Linearization with respect to parameters can also be performed, making the method even more appealing, e.g. for controller designs based on linear parameter varying approaches such as linear matrix-inequality based designs (Pöschke et al, 2020).…”

Section: Applicationsmentioning

confidence: 99%

A symbolic framework for flexible multibody systems applied to horizontal axis wind turbines

Branlard

Geisler

2021

Preprint

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Abstract. The article presents a symbolic framework that is used to obtain the linear and non-linear equations of motion of a multibody system including rigid and flexible bodies. Our approach is based on Kane's method and a nonlinear shape function representation for flexible bodies. The method yields compact symbolic equations of motion with implicit account of the constraints. The general and automatic framework facilitate the creation and manipulation of models with various levels of fidelity. The symbolic treatment provides analytical gradients and linearized equations of motion. The linear and non-linear equations can be exported to Python code or dedicated software. The application are multiple such as: time-domain simulation, stability analyses, frequency domain analyses, advanced controller design, state observers, digital twins, etc. In this paper, we describe the method we used to systematically generate the equations of motion of multibody systems. We apply the framework to generate illustrative onshore and offshore wind turbine models. We compare our results with OpenFAST simulations and discuss the advantages and limitations of the method. A Python implementation is provided as an opensource project.

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2024

Advanced Control of Grid‐Integrated Renewable Energy Power Plants

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Load mitigation and power tracking capability for wind turbines using linear matrix inequality‐based control design

Cited by 17 publications

References 31 publications

Evaluation of different APC operating strategies considering turbine loading and power dynamics for grid support

Evaluation of different APC operating strategies considering turbine loading and power dynamics for grid support

A symbolic framework for flexible multibody systems applied to horizontal axis wind turbines

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