Blade-Pitch Control for Wind Turbine Load Reductions - Wai Hou (Alan) Lio

Blade-Pitch Control for Wind Turbine Load Reductions

Buch | Hardcover
XXVII, 174 Seiten
2018 | 1st ed. 2018
Springer International Publishing (Verlag)
978-3-319-75531-1 (ISBN)
128,39 inkl. MwSt

This thesis investigates the use of blade-pitch control and real-time wind measurements to reduce the structural loads on the rotors and blades of wind turbines. The first part of the thesis studies the main similarities between the various classes of current blade-pitch control strategies, which have to date remained overlooked by mainstream literature. It also investigates the feasibility of an estimator design that extracts the turbine tower motion signal from the blade load measurements. In turn, the second part of the thesis proposes a novel model predictive control layer in the control architecture that enables an existing controller to incorporate the upcoming wind information and constraint-handling features. This thesis provides essential clarifications of and systematic design guidelines for these topics, which can benefit the design of wind turbines and, it is hoped, inspire the development of more innovative mechanical load-reduction solutions in the field of windenergy.

Dr Wai Hou (Alan) Lio was born in Macau in 1989. He received his M.Eng inElectrical and Electronic Engineering from Imperial College London in 2012, and hisPh.D. in Automatic Control and Systems Engineering from the University of Sheffieldin 2017. He is currently with Department of Wind Energy at Technical University ofDenmark. His main research interests include model predictive control, mathematicaloptimisation and state estimation, with applications in wind energy conversion systemsand wind farms.

Introduction.- Background of Wind Turbine Blade-Pitch Load Reduction Control.- Review of the Related Work.- Performance Similarities between Individual Pitch Control Strategies.- Estimation and Control Design for Tower Motions.- Feed-Forward Model Predictive Control Design based upon a Feedback Controller.- Feed-Forward Model Predictive Control Layer on Wind Turbines.- Conclusions and Future Work.

Erscheinungsdatum
Reihe/Serie Springer Theses
Zusatzinfo XXVII, 174 p. 58 illus.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 473 g
Themenwelt Technik Elektrotechnik / Energietechnik
Technik Maschinenbau
Schlagworte Blade-Pitch Control • Load Reductions • Model Predictive Control • MPC • Real-Time Wind Measurements • Turbine Tower Motion Signal • Wind turbine
ISBN-10 3-319-75531-5 / 3319755315
ISBN-13 978-3-319-75531-1 / 9783319755311
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
Wegweiser für Elektrofachkräfte

von Gerhard Kiefer; Herbert Schmolke; Karsten Callondann

Buch | Hardcover (2024)
VDE VERLAG
48,00