Power curve tracking in the presence of a tip speed constraint

Bottasso, Carlo L.; Croce, Alessandro; Nam, Yoonsu; Riboldi, C. E. D.

doi:10.1016/j.renene.2011.07.045

Cited by 45 publications

(40 citation statements)

References 12 publications

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“…In the current study, the linear quadratic regulator (LQR) described in Bottasso et al (2012) was used. This model-based formulation allows for a straightforward update of the control laws during design, as its underlying reduced-order model can be readily updated whenever the wind turbine parameters change, thereby automatically producing new sets of gains that work in combination with the new design.…”

Section: Aeroservoelastic Simulatormentioning

confidence: 99%

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Combined preliminary–detailed design of wind turbines

Bortolotti¹,

Bottasso

Croce

2016

Wind Energ. Sci.

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Abstract. This paper is concerned with the holistic optimization of wind turbines. A multi-disciplinary optimization procedure is presented that marries the overall sizing of the machine in terms of rotor diameter and tower height (often termed "preliminary design") with the detailed sizing of its aerodynamic and structural components. The proposed combined preliminary-detailed approach sizes the overall machine while taking into full account the subtle and complicated couplings that arise due to the mutual effects of aerodynamic and structural choices. Since controls play a central role in dictating performance and loads, control laws are also updated accordingly during optimization. As part of the approach, rotor and tower are sized simultaneously, even in this case capturing the mutual effects of one component over the other due to the tip clearance constraint. The procedure, here driven by detailed models of the cost of energy, results in a complete aero-structural design of the machine, including its associated control laws.The proposed methods are tested on the redesign of two wind turbines, a 2.2 MW onshore machine and a large 10 MW offshore one. In both cases, the optimization leads to significant changes with respect to the initial baseline configurations, with noticeable reductions in the cost of energy. The novel procedures are also exercised on the design of low-induction rotors for both considered wind turbines, showing that they are typically not competitive with conventional high-efficiency rotors.

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Section: Aeroservoelastic Simulatormentioning

confidence: 99%

“…(4c) with the calculation of the regulation trajectory and the synthesis of the LQR controller gains, which are updated based on the current wind turbine design (Bottasso et al, 2012). Next, a load computation step is performed, as expressed by Eq.…”

Section: Structural Optimizationmentioning

confidence: 99%

Combined preliminary–detailed design of wind turbines

Bortolotti¹,

Bottasso

Croce

2016

Wind Energ. Sci.

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“…The machine, implementing for each RPM the tabulated torque and variable blade pitch setting (differently from the standard case, where pitch is held constant), operates in region II at the maximum possible C P for each wind speed. The formulation can also be readily applied to other controllers, as for example the linear quadratic regulator (LQR) of Bottasso et al, which was used for the present study. For that case, the resulting behavior of pitch, TSR, and C P as functions of V are illustrated in Figure A,B,C.…”

Section: Load Alleviating Rotor Designmentioning

confidence: 99%

Integration of multiple passive load mitigation technologies by automated design optimization—The case study of a medium‐size onshore wind turbine

et al. 2018

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The present work considers the application to a medium‐size onshore wind turbine of passive load mitigation technologies, first individually and then integrated together. The study is conducted with the help of a comprehensive automated design optimization procedure, which eases the generation and comparison of consistent solutions, each satisfying the same overall requirements. Passive load mitigation is here obtained by inducing bend‐twist coupling to the blades. The coupling is generated by rotating the fibers of anisotropic laminates, by the aerodynamic sweeping of the blade and by offsetting the spar caps in opposite directions on the pressure and suction sides. The first two solutions yield significant benefits, while the third, for this particular wind turbine, is ineffective. In addition, the typical power losses associated with bend‐twist coupled blades are reduced by a novel regulation strategy that varies the fine pitch setting in the partial load region. After having considered each load mitigation technology by itself, fiber rotation and sweeping are combined together and used to design a rotor with a larger swept area. The final design generates cost of energy savings thanks to a large‐diameter, highly coned, soft‐in‐bending rotor that results in lower turbine costs and a higher energy capture compared with the baseline design.

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“…Pitch and torque actuators are also included in the model as second and first order systems, respectively. The turbine model is controlled by an active pitch/torque speed-scheduled linear quadratic regulator (LQR) [15]. The total number of degrees of freedom is slightly more than 2500.…”

Section: Balancing Control Performancementioning

confidence: 99%

Monitoring rotor aerodynamic and mass imbalances through a self-balancing control

Cacciola

Riboldi

Croce

2018

J. Phys.: Conf. Ser.

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Abstract.A typical concern in rotating systems is related to rotor imbalances, which result typically from pitch misalignment and unbalanced mass distribution. A novel control for simultaneously targeting mass and pitch imbalances on the rotor is presented. Additionally, a novel detection strategy is developed in order to detect the imbalance source out of the behavior of the control action. More in depth, since the control will generate an artificial aerodynamic imbalance which compensates the pre-existent aerodynamic and inertial ones, one can find and interpret the fingerprint of the imbalance source in the behavior of the balancing controller. A clear advantage of this approach is that the imbalance detection is performed while the control keeps the machine working within its operating limits reducing the down-time and unscheduled maintenance actions.

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Power curve tracking in the presence of a tip speed constraint

Cited by 45 publications

References 12 publications

Combined preliminary–detailed design of wind turbines

Combined preliminary–detailed design of wind turbines

Integration of multiple passive load mitigation technologies by automated design optimization—The case study of a medium‐size onshore wind turbine

Monitoring rotor aerodynamic and mass imbalances through a self-balancing control

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