Analysis and multi-objective optimisation of wind turbine torque control strategies
Abstract K ω 2 K ω 2 controller. There is, however, a trade-off in torque control variance and power capture with control bandwidth. By lowering the bandwidth at the expense of generated power of 2 %, the torque actuation effort reduces by 80 % with respect to the optimal calibration corresponding to the highest control bandwidth.
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
Analysis and multi-objective optimisation of wind turbine torque control strategies ; volume:8 ; number:10 ; year:2023 ; pages:1553-1573 ; extent:21
Wind energy science ; 8, Heft 10 (2023), 1553-1573 (gesamt 21)
- Creator
- DOI
-
10.5194/wes-8-1553-2023
- URN
-
urn:nbn:de:101:1-2023102604185664605652
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
- 14.08.2025, 10:50 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Brandetti, Livia
- Mulders, Sebastiaan Paul
- Liu, Yichao
- Watson, Simon
- Van Wingerden, Jan-Willem
Other Objects (12)
Analysis and multi-objective optimisation of model-based wind turbine controllers
MVMOO: Mixed variable multi-objective optimisation
Stochastic Multi-objective Optimisation of Exoskeleton Structures
Use of parametric sensitivities for multi-objective optimisation
Global multi-objective optimisation utilizing surrogate models : interner Bericht
Multi-objective optimisation of reliable product-plant network configuration
Multi-objective optimisation of polymerase chain reaction continuous flow systems
Multi-Objective Global Pattern Search: Effective numerical optimisation in structural dynamics
Multi-objective optimisation of ultrasonically welded dissimilar joints through machine learning
Enhancing the Harris’ Hawk optimiser for single- and multi-objective optimisation
Metaheuristics for multiobjective optimisation
A novel Physarum-inspired competition algorithm for discrete multi-objective optimisation problems
Analysis and multi-objective optimisation of model-based wind turbine controllers
MVMOO: Mixed variable multi-objective optimisation
Stochastic Multi-objective Optimisation of Exoskeleton Structures
Use of parametric sensitivities for multi-objective optimisation
Global multi-objective optimisation utilizing surrogate models : interner Bericht
Multi-objective optimisation of reliable product-plant network configuration
Multi-objective optimisation of polymerase chain reaction continuous flow systems
Multi-Objective Global Pattern Search: Effective numerical optimisation in structural dynamics
Multi-objective optimisation of ultrasonically welded dissimilar joints through machine learning
Enhancing the Harris’ Hawk optimiser for single- and multi-objective optimisation
Metaheuristics for multiobjective optimisation
A novel Physarum-inspired competition algorithm for discrete multi-objective optimisation problems
Analysis and multi-objective optimisation of model-based wind turbine controllers
MVMOO: Mixed variable multi-objective optimisation
Stochastic Multi-objective Optimisation of Exoskeleton Structures
Use of parametric sensitivities for multi-objective optimisation
Global multi-objective optimisation utilizing surrogate models : interner Bericht
Multi-objective optimisation of reliable product-plant network configuration
Multi-objective optimisation of polymerase chain reaction continuous flow systems
Multi-Objective Global Pattern Search: Effective numerical optimisation in structural dynamics
Multi-objective optimisation of ultrasonically welded dissimilar joints through machine learning
Enhancing the Harris’ Hawk optimiser for single- and multi-objective optimisation
Metaheuristics for multiobjective optimisation