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Institution

Vestas

CompanyAarhus, Denmark
About: Vestas is a company organization based out in Aarhus, Denmark. It is known for research contribution in the topics: Turbine & Wind power. The organization has 1075 authors who have published 1519 publications receiving 23285 citations. The organization is also known as: Vestas Wind Systems & Vestas Wind Systems A/S.


Papers
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Patent
Ib Svend Olesen1
29 Jun 2009
TL;DR: In this paper, a sensor system and method for detecting deformation in a wind turbine rotor blade is described, and the controller can determine the optical path length based on the detected light signals.
Abstract: The invention relates to a sensor system and method for detecting deformation in a wind turbine rotor blade, and particularly to a temperature compensated system and method. A first optic fiber 22 b is attached to the rotor blade such that deformation of the component acts on the first optical fiber and causes the optical path length of the fiber to change. A second optic fiber 27 is mounted loosely in the wind turbine component in such a way that it is not subject to deformation. A light source 10 , a light detector 11 , and a controller 12 input light into the two optical fibers and receive signals from them. Based on the detected light, the controller can determine the optical path length based on the light signals. In different embodiments, the light source varies the input wavelength over a range of wavelengths, provides a multi wavelength light signal, such as a white light source, or inputs a pulsed light signal. In further embodiments, the second optical fiber may be omitted if temperature effects are not significant.

11 citations

01 Jan 2012
TL;DR: In this article, a generic power system model is presented in order to comprehend the wind integration studies with different penetration scenarios, and the power system components: conventional power plants with controls, transmission lines, transformers and loads should be represented accurately to achieve realistic power system characteristics.
Abstract: High wind power penetration levels into power systems requires an appropriate power system model when assessing impact on the overall system stability. The model should capture the wide range of dynamics related to the wind integration studies, such as voltage control, synchronizing power control, inertial response, frequency control, damping of electromechanical oscillations, balanced and unbalanced fault management, etc. Hence, the power system components: conventional power plants with controls, transmission lines, transformers and loads should be represented accurately to achieve realistic power system characteristics. Additionally, the power system model should be simple and computationally manageable in order to simulate multiple scenarios with different control parameters in a reasonable time. In this paper, a generic power system model is presented in order to comprehend the wind integration studies with different penetration scenarios.

11 citations

Patent
Paw Rosenvard1
03 Feb 2012
TL;DR: In this article, a wind turbine arrangement comprises a main wind turbine and at least one secondary wind turbine, and the secondary wind turbines may constitute a backup power supply to the internal systems.
Abstract: A wind turbine arrangement comprises a main wind turbine and at least one secondary wind turbine. The main wind turbine is arranged to produce electrical power and to supply produced electrical power to an external power recipient, such as a power grid. The main wind turbine comprises one or more power consuming internal systems, e.g., yaw system, control system, heating systems, lubrication systems, etc. The secondary wind turbine (s) is/are arranged to produce electrical power and to supply produced electrical power to at least some of the power consuming internal system(s) of the main wind turbine. The secondary wind turbine(s) is/are electrically disconnected from the external power recipient. The secondary wind turbine(s) may constitute a backup power supply to the internal systems. Thereby it is not necessary to refuel the backup power supply, and the backup power supply is environmental friendly. This is particularly useful in offshore wind turbine arrangements.

11 citations

Patent
29 Jun 2012
Abstract: Embodiments of the invention generally relate to wind turbine generators, and more specifically to the deactivation of wind turbines in a wind turbine park. A wind park controller may be configured to retrieve data indicating fatigue experienced by each wind turbine of the wind turbine park, and deactivate those turbines determined to be the most fatigued, thereby increasing the lifetime of turbines in the wind turbine park.

11 citations

Patent
04 Nov 2014
TL;DR: In this article, a method for controlling injection and absorption of reactive power in a wind power plant (WPP) is proposed, where reactive power regulating devices such as MSU and STATCOM devices are controlled by a WPP controller.
Abstract: The invention relates to a method for controlling injection and absorption of reactive power in a wind power plant (WPP). In addition to wind turbine generators (WTG), the wind power plant comprises reactive power regulating devices, such as MSU and STATCOM devices. The reactive power regulating devices are controlled by wind power plant controller so that the combined amount of reactive power produced by the wind turbine generators and the reactive power regulating devices satisfies a desired amount of reactive power. In case of communication fault between the power plant controller and one of the reactive power regulating devices, the power plant controller is reconfigured so as to compensate the capability of the reactive power regulating device to inject or absorb the amount of reactive power.

11 citations


Authors

Showing all 1077 results

NameH-indexPapersCitations
Remus Teodorescu8460638521
Pedro Rodriguez6749624551
Saurabh Gupta385455907
Florin Iov321664225
Cher Ming Tan312853666
Philip Carne Kjaer26972315
Martin G. Evans25554712
Peter Fogh Odgaard23952515
Lars Helle23722881
Torben Knudsen231162157
Jan-Willem van Wingerden211512554
Daniel E. Viassolo21681125
Lars Finn Sloth Larsen20731260
Anton Bech19691128
Mark Hancock1644994
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20222
202124
202090
201982
201853
201764