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

Research output: Contribution to journal › Conference article in Journal › Research › peer-review

77 Citations (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.

Original language	English
Journal	IEEE International Conference on Control Applications
Pages (from-to)	852-857
Number of pages	6
DOIs	https://doi.org/10.1109/CCA.2011.6044407
Publication status	Published - 2011
Event	IEEE International Conference on Control Applications (CCA 2011) - Denver, Colorado, United States Duration: 28 Sept 2011 → 30 Sept 2011

Conference

Conference	IEEE International Conference on Control Applications (CCA 2011)
Country/Territory	United States
City	Denver, Colorado
Period	28/09/2011 → 30/09/2011

Access to Document

10.1109/CCA.2011.6044407

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

AUB Link

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VESTAS Turbine Control Program
Wisniewski, R. (Project Participant) & N. Soltani, M. (Project Participant)
15/03/2010 → 14/02/2016
Project: Research

Cite this

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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",

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AU - Brath, Per

AU - Boyd, Stephen

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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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M3 - Conference article in Journal

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T2 - IEEE International Conference on Control Applications (CCA 2011)

Y2 - 28 September 2011 through 30 September 2011

ER -

Load Reduction of Wind Turbines Using Receding Horizon Control

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Projects

VESTAS Turbine Control Program

Cite this