Load Reduction of Wind Turbines Using Receding Horizon Control

Mohsen Soltani; Rafal Wisniewski; Per Brath; Stephen Boyd

doi:10.1109/CCA.2011.6044407

Load Reduction of Wind Turbines Using Receding Horizon Control

Mohsen Soltani, Rafal Wisniewski, Per Brath, Stephen Boyd

Publikation: Bidrag til tidsskrift › Konferenceartikel i tidsskrift › Forskning › peer review

77 Citationer (Scopus)

Abstract

Large scale wind turbines are lightly damped mechanical structures driven by wind that is constantly fluctuating. In this paper, we address the design of a model-based receding horizon control scheme to reduce the structural loads in the transmission system and the tower, as well as provide constant (or at least smooth) power generation. Our controller incorporates two optimization problems: one to predict or estimate mean wind speed, given LIDAR data, and the other to carry out receding horizon control to choose the
control inputs. The method is verified against an existing wind turbine control system, and shows reductions in both extreme loads and power fluctuations by 80% and 90% respectively when compared to a conventional controller.

Originalsprog	Engelsk
Tidsskrift	IEEE International Conference on Control Applications
Sider (fra-til)	852-857
Antal sider	6
DOI	https://doi.org/10.1109/CCA.2011.6044407
Status	Udgivet - 2011
Begivenhed	IEEE International Conference on Control Applications (CCA 2011) - Denver, Colorado, USA Varighed: 28 sep. 2011 → 30 sep. 2011

Konference

Konference	IEEE International Conference on Control Applications (CCA 2011)
Land/Område	USA
By	Denver, Colorado
Periode	28/09/2011 → 30/09/2011

Bibliografisk note

E-ISBN : 978-1-4577-1061-2
Print ISBN: 978-1-4577-1062-9

Adgang til dokumentet

10.1109/CCA.2011.6044407

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6044407

AUB Link

Søg efter materialet i Aalborg Universitetsbiblioteks søgemaskine

VESTAS Turbine Control Program
Wisniewski, R. & N. Soltani, M.
15/03/2010 → 14/02/2016
Projekter: Projekt › Forskning

Citationsformater

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title = "Load Reduction of Wind Turbines Using Receding Horizon Control",

abstract = "Large scale wind turbines are lightly damped mechanical structures driven by wind that is constantly fluctuating. In this paper, we address the design of a model-based receding horizon control scheme to reduce the structural loads in the transmission system and the tower, as well as provide constant (or at least smooth) power generation. Our controller incorporates two optimization problems: one to predict or estimate mean wind speed, given LIDAR data, and the other to carry out receding horizon control to choose the control inputs. The method is verified against an existing wind turbine control system, and shows reductions in both extreme loads and power fluctuations by 80% and 90% respectively when compared to a conventional controller.",

author = "Mohsen Soltani and Rafal Wisniewski and Per Brath and Stephen Boyd",

note = "E-ISBN : 978-1-4577-1061-2 Print ISBN: 978-1-4577-1062-9; IEEE International Conference on Control Applications (CCA 2011) ; Conference date: 28-09-2011 Through 30-09-2011",

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AU - Wisniewski, Rafal

AU - Brath, Per

AU - Boyd, Stephen

N1 - E-ISBN : 978-1-4577-1061-2 Print ISBN: 978-1-4577-1062-9

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N2 - Large scale wind turbines are lightly damped mechanical structures driven by wind that is constantly fluctuating. In this paper, we address the design of a model-based receding horizon control scheme to reduce the structural loads in the transmission system and the tower, as well as provide constant (or at least smooth) power generation. Our controller incorporates two optimization problems: one to predict or estimate mean wind speed, given LIDAR data, and the other to carry out receding horizon control to choose the control inputs. The method is verified against an existing wind turbine control system, and shows reductions in both extreme loads and power fluctuations by 80% and 90% respectively when compared to a conventional controller.

AB - Large scale wind turbines are lightly damped mechanical structures driven by wind that is constantly fluctuating. In this paper, we address the design of a model-based receding horizon control scheme to reduce the structural loads in the transmission system and the tower, as well as provide constant (or at least smooth) power generation. Our controller incorporates two optimization problems: one to predict or estimate mean wind speed, given LIDAR data, and the other to carry out receding horizon control to choose the control inputs. The method is verified against an existing wind turbine control system, and shows reductions in both extreme loads and power fluctuations by 80% and 90% respectively when compared to a conventional controller.

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ER -

Load Reduction of Wind Turbines Using Receding Horizon Control

Abstract

Konference

Bibliografisk note

Adgang til dokumentet

AUB Link

Fingeraftryk

Projekter

VESTAS Turbine Control Program

Citationsformater