scispace - formally typeset
Search or ask a question
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
More filters
Patent
Anders Holm Milo1
26 Aug 2010
TL;DR: In this article, an embedded turbine data acquisition system takes advantage of an existing turbine back-bone network for data transport and data acquisition, using a data transfer channel for transferring sensor output from the one or more standard sensor modules to the processor.
Abstract: Sensor networks, methods and computer program products for state monitoring of a wind turbine The sensor network may include one or more standard sensor modules each having a sensor for measuring a parameter of the wind turbine or its surroundings The wind turbine includes a processor for receiving input from the one or more standard sensor modules, and a data transfer channel for transferring sensor output from the one or more standard sensor modules to the processor The data transfer channel has one or more auxiliary connection points for connection of one or more additional sensor module The one or more additional sensor modules are in surplus of the standard sensor modules in a standard set-up of the wind turbine sensor network The embedded turbine data acquisition system takes advantage of an existing turbine back-bone network for data transport

7 citations

Proceedings ArticleDOI
01 Oct 2017
TL;DR: In this paper, an approach to model a wind farm as a multi-input multi-output (MIMO) dynamic system, where the current control loops with Phase-Locked Loops (PLLs) are linearized around an operating point, is presented.
Abstract: In large power electronic systems like a wind farm, the mutual interactions between the control systems of the power converters can lead to various stability and power quality problems. In order to predict the system dynamic behavior, this paper presents an approach to model a wind farm as a Multi-Input Multi-Output (MIMO) dynamic system, where the current control loops with Phase-Locked Loops (PLLs) are linearized around an operating point. Each sub-module of the wind farm is modeled as a 2×2 admittance matrix in dq-domain and all are combined together by using a dq nodal admittance matrix. The frequency and damping of the oscillatory modes are calculated by finding the poles of the introduced MIMO matrix. Time-domain simulation results obtained from a 400-MW wind farm are used to verify the effectiveness of the presented model.

7 citations

Patent
22 Dec 2016
TL;DR: In this article, a method and controller for heating a wind turbine blade that comprises a plurality of heating zones is presented, wherein each heating zone comprises one or more Electro-Thermal Heating Elements.
Abstract: The present invention relates to a method and controller for heating a wind turbine blade that comprises a plurality of heating zones. An icing factor is determined based on environmental conditions and one or more heating zones are determined based on the determined icing factor, wherein each heating zone comprises one or more Electro-Thermal Heating Elements. The one or more Electro-Thermal Heating Elements corresponding to the determined heating zones are activated to generate heat.

7 citations

Patent
Gerner Larsen1, Thomas Hjort1
22 Dec 2009
TL;DR: In this paper, a wind turbine comprising a nacelle (1) is disclosed, which accommodates at least a generator (3) and power electronics electrically interconnected between the generator and a power grid.
Abstract: A wind turbine comprising a nacelle (1) is disclosed. The nacelle (1) accommodates at least a generator (3) and power electronics electrically interconnected between the generator (3) and a power grid. At least one power electronic component (10, 11, 12) is removably arranged in the nacelle (1) in a region positioned between a floor level of the nacelle (1) and a lower limiting surface, e.g. a bottom wall, of the nacelle (1). The space available in the interior parts of the nacelle (1) is thereby utilised to a greater extent than in prior art wind turbines, and replacement of a power electronic component (10, 11, 12) can be performed using ordinary lifting equipment. Furthermore, the risk of injury to maintenance personnel is reduced.

7 citations

Patent
Ib Svend Olesen1
21 May 2014
TL;DR: In this paper, the authors proposed a method for determining the tip angle of a wind turbine rotor during rotation of the rotor by transmitting a light signal from a first rotor towards a second rotor and receiving the light signal at the second rotor.
Abstract: The present invention relates to a method and to a wind turbine for determining the tip angle of a blade of a wind turbine rotor during rotation of the rotor The method comprising: (a) transmitting a light signal from a first blade of the wind turbine rotor towards a second blade of the rotor; (b) receiving the light signal at the second blade of the rotor; and (c) calculating the tip angle of the first or second blade based upon characteristics of the received light signal

7 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
Network Information
Related Institutions (5)
Hydro-Québec
4.4K papers, 100.8K citations

79% related

Lappeenranta University of Technology
9.8K papers, 267.9K citations

79% related

Electric Power Research Institute
27K papers, 269.5K citations

78% related

École de technologie supérieure
8K papers, 124.2K citations

77% related

Supélec
6.6K papers, 121.8K citations

77% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20222
202124
202090
201982
201853
201764