Analysis of internal drive train dynamics in a wind turbine

Peeters, Joris; Vandepitte, Dirk; Sas, Paul

doi:10.1002/we.173

Cited by 130 publications

(123 citation statements)

References 10 publications

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“…Still related to the rotor, Manyoge [12] presented a mathematical model to describe the power coefficient behavior, which is used in the present work. Peeters [16][17], Todorov [18], WeiShi [20], Datong [5], Wang [21] and Helsen [8]studied mathematical models related to the gearbox of wind turbines (the mechanical part of the power train). Regarding the generator, Marques [13], Bernardes [2], Ming Yin [14], Bastos [1] and Lei [11]studied mathematical models related to the generator.…”

Section: Figure1 Components Of a Wind Turbinementioning

confidence: 99%

Dynamical Behavior of a Wind Turbine Power Train Considering a Rotor-Gearbox-Generator Coupled Model

Teixeira¹,

O'Hara²,

Milhomens³

et al. 2017

Proceedings of the 6th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

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Section: Figure1 Components Of a Wind Turbinementioning

confidence: 99%

Dynamical Behavior of a Wind Turbine Power Train Considering a Rotor-Gearbox-Generator Coupled Model

Teixeira¹,

O'Hara²,

Milhomens³

et al. 2017

Proceedings of the 6th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

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“…Inertia and mass values are from the CAE model while the stiffness and damping values are estimated according to an experimental method [13,14]. Eigenfrequencies can be derived by K and J.…”

Section: Drive Train Modelmentioning

confidence: 99%

Impact of the Converter Control Strategies on the Drive Train of Wind Turbine during Voltage Dips

2015

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Abstract:The impact of converter control strategies on the drive train of wind turbines during voltage dips is investigated in this paper using a full electromechanical model. Aerodynamics and tower vibration are taken into consideration by means of a simulation program, named FAST. Detailed gearbox and electrical subsystems are represented in MATLAB. The dynamic response of electromagnetic torque and its impact on the mechanical variables are the concern in this paper and the response of electrical variables is less discussed. From the mechanical aspects, the effect of rising power recovery speed and unsymmetrical voltage dips are analyzed on the basis of the dynamic response of the high-speed shaft (HSS). A comparison of the impact on the drive train is made for two converter control strategies during small voltage dips. Through the analysis of torque, speed and tower vibration, the results indicate that both power recovery speed and the sudden torque sag have a significant impact on drive trains, and the effects depend on the different control strategies. Moreover, resonance might be excited on the drive train by an unbalanced voltage.

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“…Optimization of current drivetrain designs to increase reliability and reduce weight is expected to reduce drivetrain cost and increase performance (e.g., Peeters et al 2006, Heege et al 2007). However, wholly new architectures are also possible and are in development and production, including direct drive turbines, single-stage medium-speed geared designs, and multi-generator architectures (Cohen et al 2008).…”

Section: Tower Conceptsmentioning

confidence: 99%

IEA Wind Task 26: The Past and Future Cost of Wind Energy, Work Package 2

Lantz¹,

Wiser²,

Hand³

2012

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Executive SummaryOver the past 30 years, wind power has become a mainstream source of electricity generation around the world. However, the future of wind power will depend a great deal on the ability of the industry to continue to achieve cost of energy reductions. This summary report, developed as part of the International Energy Agency (IEA) Wind Implementing Agreement Task 26, The Cost of Wind Energy, provides a review of historical costs, evaluates near-term market trends, reviews the methods used to estimate long-term cost trajectories, and summarizes the range of costs projected for onshore wind energy across an array of forward-looking studies and scenarios. It also highlights high-level market variables that have influenced wind energy costs in the past and are expected to do so into the future. Historical and Near-Term Trends in the Levelized Cost of Wind EnergyBetween 1980 and the early 2000s, significant reductions in capital cost and increases in performance had the combined effect of dramatically reducing the levelized cost of energy (LCOE) for onshore wind energy. Data from three different historical evaluations, including internal analysis by the Lawrence Berkley National Laboratory (LBNL) and the National Renewable Energy Laboratory (NREL) as well as published estimates from Lemming et al. (2009) and the Danish Energy Agency (DEA) (1999), illustrate that the LCOE of wind power declined by a factor of more than three, from more than $150/MWh to approximately $50/MWh between 1980s and the early 2000s ( Figure ES-1). However, beginning in about 2003 and continuing through the latter half of the past decade, wind power capital costs increased-driven by rising commodity and raw materials prices, increased labor costs, improved manufacturer profitability, and turbine upscaling-thus pushing wind's LCOE upward in spite of continued performance improvements ( Figure ES-1). Sources: LBNL/NREL (internal analysis), Lemming et al. 2009, and DEA 1999 [2012][2013] suggests that the LCOE of onshore wind energy is now at an all-time low within fixed wind resource classes, and particularly in low and medium wind speed areas ( Figure ES-2). Moreover, the fact that capital costs remain higher than in the early 2000s but that those increased costs are rewarded by improved performance and a lower LCOE demonstrates the fundamental interdependence of capital cost and performance in wind turbine and project design. Long-term Trends in Wind Energy LCOEFurther into the future, the LCOE of wind energy is expected to continue to fall, at least on a global basis and within fixed wind resource classes. Performance improvements associated with continued turbine upscaling and design advancements are anticipated, and lower capital costs may also be achievable. The magnitude of future cost reductions, however, is highly uncertain.Estimates of the future cost of onshore wind energy conducted to date have often been the result of an iterative process that incorporates some combination of historical trends, learning curve anal...

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Analysis of internal drive train dynamics in a wind turbine

Cited by 130 publications

References 10 publications

Dynamical Behavior of a Wind Turbine Power Train Considering a Rotor-Gearbox-Generator Coupled Model

Dynamical Behavior of a Wind Turbine Power Train Considering a Rotor-Gearbox-Generator Coupled Model

Impact of the Converter Control Strategies on the Drive Train of Wind Turbine during Voltage Dips

IEA Wind Task 26: The Past and Future Cost of Wind Energy, Work Package 2

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