scholarly journals Illustration of Modern Wind Turbine Ancillary Services

Energies ◽  
2010 ◽  
Vol 3 (6) ◽  
pp. 1290-1302 ◽  
Author(s):  
Ioannis D. Margaris ◽  
Anca D. Hansen ◽  
Poul Sørensen ◽  
Nikolaos D. Hatziargyriou
Keyword(s):  
Wind Turbine ◽  
Ancillary Services

scholarly journals Providing Ancillary Services with Wind Turbine Generators Based on DFIG with a Two-Branch Static Converter

Energies ◽  
2019 ◽  
Vol 12 (13) ◽  
pp. 2490 ◽  
Author(s):  
Ernande Eugenio C. Morais ◽  
Francisco Kleber de A. Lima ◽  
Jean M. L. Fonseca ◽  
Carlos G. C. Branco ◽  
Lívia de A. Machado
Keyword(s):  
Wind Turbine ◽  
Reactive Power ◽  
Power Converter ◽  
Ancillary Services ◽  
Nonlinear Loads ◽  
Turbine Generators ◽  
Point Of Common Coupling ◽  
Doubly Fed ◽  
Grid Side ◽  
Controller Board

This work aims to analyze and validate through mathematical modeling and experimental results, in a three-phase three-wire electrical system, the technical viability of a static power converter with a two-level topology with only two controlled branches (2L2B), operating as a grid-side converter (GSC) in a wind turbine generator based on a doubly fed induction generator (DFIG). With this reduced-switches topology, the GSC is able to regulate the DC-link voltage level from the generator back-to-back converter and provide ancillary services of harmonic filtering and reactive power compensation from linear/nonlinear loads connected to the point of common coupling. An 8-kVA experimental prototype was implemented in the laboratory to validate the proposal. The prototype control system was realized using the dSPACE DS1103 PPC Controller Board platform programmed via MATLAB/Simulink. The effectiveness of the proposed system is verified by comparing the results obtained with the 2L2B topology to the ones with the usual two-level three-branch topology.

In a spin [wind turbine industry]

2003 ◽  
Vol 17 (4) ◽  
pp. 16
Author(s):  
S. Peace
Keyword(s):  
Wind Turbine

Selection of a leading edge noise prediction method for PNoise

2018 ◽  
pp. 214-223
Author(s):  
AM Faria ◽  
MM Pimenta ◽  
JY Saab Jr. ◽  
S Rodriguez
Keyword(s):  
Wind Turbine ◽  
Turbine Blades ◽  
Prediction Method ◽  
Leading Edge ◽  
Wind Farms ◽  
Broadband Noise ◽  
Turbulence Energy ◽  
Noise Prediction ◽  
Migration Routes ◽  
Turbulent Inflow

Wind energy expansion is worldwide followed by various limitations, i.e. land availability, the NIMBY (not in my backyard) attitude, interference on birds migration routes and so on. This undeniable expansion is pushing wind farms near populated areas throughout the years, where noise regulation is more stringent. That demands solutions for the wind turbine (WT) industry, in order to produce quieter WT units. Focusing in the subject of airfoil noise prediction, it can help the assessment and design of quieter wind turbine blades. Considering the airfoil noise as a composition of many sound sources, and in light of the fact that the main noise production mechanisms are the airfoil self-noise and the turbulent inflow (TI) noise, this work is concentrated on the latter. TI noise is classified as an interaction noise, produced by the turbulent inflow, incident on the airfoil leading edge (LE). Theoretical and semi-empirical methods for the TI noise prediction are already available, based on Amiet’s broadband noise theory. Analysis of many TI noise prediction methods is provided by this work in the literature review, as well as the turbulence energy spectrum modeling. This is then followed by comparison of the most reliable TI noise methodologies, qualitatively and quantitatively, with the error estimation, compared to the Ffowcs Williams-Hawkings solution for computational aeroacoustics. Basis for integration of airfoil inflow noise prediction into a wind turbine noise prediction code is the final goal of this work.

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