scholarly journals Advanced Control of Wind Turbines

10.5772/17954 ◽  
2011 ◽  
Author(s):  
Abdellatif Khamlichi ◽  
Brahim Ayyat ◽  
Mohammed Bezzazi ◽  
Carlos Vivas
Keyword(s):  
Wind Turbines ◽  
Advanced Control

scholarly journals Comparative Analysis of Identification Methods for Mechanical Dynamics of Large-Scale Wind Turbine

Energies ◽  
2019 ◽  
Vol 12 (18) ◽  
pp. 3429 ◽  
Author(s):  
Chu ◽  
Yuan ◽  
Hu ◽  
Pan ◽  
Pan
Keyword(s):  
Mutual Information ◽  
Parameter Identification ◽  
Wind Turbines ◽  
Closed Loop ◽  
Control Design ◽  
Identification Accuracy ◽  
Mass Model ◽  
Identification Methods ◽  
Advanced Control ◽  
Mechanical Dynamics

With increasing size and flexibility of modern grid-connected wind turbines, advanced control algorithms are urgently needed, especially for multi-degree-of-freedom control of blade pitches and sizable rotor. However, complex dynamics of wind turbines are difficult to be modeled in a simplified state-space form for advanced control design considering stability. In this paper, grey-box parameter identification of critical mechanical models is systematically studied without excitation experiment, and applicabilities of different methods are compared from views of control design. Firstly, through mechanism analysis, the Hammerstein structure is adopted for mechanical-side modeling of wind turbines. Under closed-loop control across the whole wind speed range, structural identifiability of the drive-train model is analyzed in qualitation. Then, mutual information calculation among identified variables is used to quantitatively reveal the relationship between identification accuracy and variables’ relevance. Then, the methods such as subspace identification, recursive least square identification and optimal identification are compared for a two-mass model and tower model. At last, through the high-fidelity simulation demo of a 2 MW wind turbine in the GH Bladed software, multivariable datasets are produced for studying. The results show that the Hammerstein structure is effective for simplify the modeling process where closed-loop identification of a two-mass model without excitation experiment is feasible. Meanwhile, it is found that variables’ relevance has obvious influence on identification accuracy where mutual information is a good indicator. Higher mutual information often yields better accuracy. Additionally, three identification methods have diverse performance levels, showing their application potentials for different control design algorithms. In contrast, grey-box optimal parameter identification is the most promising for advanced control design considering stability, although its simplified representation of complex mechanical dynamics needs additional dynamic compensation which will be studied in future.

scholarly journals Advanced Control Design for Wind Turbines

PAMM ◽  
2011 ◽  
Vol 11 (1) ◽  
pp. 823-824
Author(s):  
Yan Liu ◽  
Martinus Susilo ◽  
Dirk Söffker
Keyword(s):  
Wind Turbines ◽  
Control Design ◽  
Advanced Control

Guest Editorial Modeling and Advanced Control of Wind Turbines/Wind Farms

2017 ◽  
Vol 32 (3) ◽  
pp. 1105-1107 ◽  
Author(s):  
J. Hu ◽  
Y. Hou ◽  
Z. Zhu ◽  
D. Xu ◽  
D. Xu ◽  
...  
Keyword(s):  
Wind Turbines ◽  
Guest Editorial ◽  
Wind Farms ◽  
Advanced Control

scholarly journals An Advanced Control Technique for Floating Offshore Wind Turbines Based on More Compact Barge Platforms

Energies ◽  
2018 ◽  
Vol 11 (5) ◽  
pp. 1187 ◽  
Author(s):  
Joannes Olondriz ◽  
Iker Elorza ◽  
Josu Jugo ◽  
Santi Alonso-Quesada ◽  
Aron Pujana-Arrese
Keyword(s):  
Wind Turbines ◽  
Offshore Wind ◽  
Control Technique ◽  
Offshore Wind Turbines ◽  
Floating Offshore Wind Turbines ◽  
Advanced Control
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