Vestas

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.

Control Network for Wind Turbine Park

Abstract: A wind park comprising a plurality of wind turbines that are coupled to each other via a control network. Control data, for example, data derived from sensors may be exchanged between the wind turbines via the control network, thereby allowing the wind turbines of the wind park to adjust operational parameters based on data received from other wind turbines of the wind park.

Acoustic noise monitoring system for a wind turbine

Abstract: The present invention relates to an acoustic noise monitoring system for a wind turbine, comprising: a microphone for monitoring acoustic noise, the microphone adapted to be mounted to the exterior of a wind turbine nacelle; an input, the input adapted to receive operating conditions data from a wind turbine; a processor, the processor adapted to receive data from the microphone and the input; and storage memory, adapted to store the acoustic noise data and the operating conditions data. The processor is adapted to apply a transfer function to said acoustic noise data to correlate said data with a set of acoustic noise data measured at a remote location from the wind turbine. The system may comprise a controller adapted to generate a control signal, for outputting to a wind turbine controller, for adjusting the operating parameters of the wind turbine in dependence on said correlated data.

Wind turbine operating method and device based on load and acceleration measurements in the blade

Abstract: Improvements Relating to Wind Turbines A wind turbine apparatus and a method of operating said wind turbine to maintain the load on the rotor blade below a predetermined threshold level is provided. The method comprises: measuring load at a root end of the rotor blade; measuring an acceleration at a location on the rotor blade outboard from the root end, the acceleration being caused by transient loads acting on the rotor blade; and controlling the wind turbine based upon the measured load and the measured acceleration to maintain the load on the rotor blade below a predetermined threshold level.

Benchmark of Annual Energy Production for Different Wind Farm Topologies

Abstract: Wind power generation has become an established alternative power source. Especially large wind farms in remote or offshore locations are emerging strongly. Their grid connection demands new transmission solutions as distances increase. A newly proposed voltage source converter (VSC) based HVDC transmission system looks promising compared to conventional AC and DC transmission systems. This paper presents a benchmark of the estimated annual energy production (AEP) of a 200 MW wind farm depending on the transmission distance and the average wind speed. The proposed system is compared to two state-of-the-art wind farm topologies: Variable-speed wind turbines with doubly-fed induction generators (DFIG) and either AC or DC transmission systems. The benchmark comprises detailed drive-train, converter, transformer, distribution and transmission loss models. The total system losses as well as the loss distribution between the different components as a function of the transmission distance and the average wind speed allows important conclusions for future wind farm projects

Comparison of the Dynamic Wake Meandering Model, Large-Eddy Simulation, and Field Data at the Egmond aan Zee Offshore Wind Plant: Preprint

Abstract: The focus of this work is the comparison of the dynamic wake meandering model and large-eddy simulation with field data from the Egmond aan Zee offshore wind plant composed of 36 3-MW turbines. The field data includes meteorological mast measurements, SCADA information from all turbines, and strain-gauge data from two turbines. The dynamic wake meandering model and large-eddy simulation are means of computing unsteady wind plant aerodynamics, including the important unsteady meandering of wakes as they convect downstream and interact with other turbines and wakes. Both of these models are coupled to a turbine model such that power and mechanical loads of each turbine in the wind plant are computed. We are interested in how accurately different types of waking (e.g., direct versus partial waking), can be modeled, and how background turbulence level affects these loads. We show that both the dynamic wake meandering model and large-eddy simulation appear to underpredict power and overpredict fatigue loads because of wake effects, but it is unclear that they are really in error. This discrepancy may be caused by wind-direction uncertainty in the field data, which tends to make wake effects appear less pronounced.