Load Reduction of Wind Turbines Using Receding Horizon Control

Mohsen Soltani, Rafal Wisniewski, Per Brath, Stephen Boyd

Research output: Contribution to journalConference article in JournalResearchpeer-review

61 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 languageEnglish
JournalIEEE International Conference on Control Applications
Pages (from-to)852-857
Number of pages6
DOIs
Publication statusPublished - 2011
EventIEEE International Conference on Control Applications (CCA 2011) - Denver, Colorado, United States
Duration: 28 Sep 201130 Sep 2011

Conference

ConferenceIEEE International Conference on Control Applications (CCA 2011)
CountryUnited States
CityDenver, Colorado
Period28/09/201130/09/2011

Fingerprint

Wind turbines
Structural loads
Controllers
Towers
Power generation
Control systems

Cite this

@inproceedings{f1eb40ee25ba46f9ad13fc1154e3c90b,
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",
year = "2011",
doi = "10.1109/CCA.2011.6044407",
language = "English",
pages = "852--857",
journal = "IEEE International Conference on Control Applications",

}

Load Reduction of Wind Turbines Using Receding Horizon Control. / Soltani, Mohsen; Wisniewski, Rafal; Brath, Per; Boyd, Stephen.

In: IEEE International Conference on Control Applications, 2011, p. 852-857.

Research output: Contribution to journalConference article in JournalResearchpeer-review

TY - GEN

T1 - Load Reduction of Wind Turbines Using Receding Horizon Control

AU - Soltani, Mohsen

AU - Wisniewski, Rafal

AU - Brath, Per

AU - Boyd, Stephen

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

PY - 2011

Y1 - 2011

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.

U2 - 10.1109/CCA.2011.6044407

DO - 10.1109/CCA.2011.6044407

M3 - Conference article in Journal

SP - 852

EP - 857

JO - IEEE International Conference on Control Applications

JF - IEEE International Conference on Control Applications

ER -