Title :
Load reduction of wind turbines using receding horizon control
Author :
Soltani, Mohsen ; Wisniewski, Rafael ; Brath, Per ; Boyd, Stephen
Author_Institution :
Dept. of Electron. Syst., Aalborg Univ., Aalborg, Denmark
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.
Keywords :
load regulation; optical radar; optimisation; power system control; predictive control; wind turbines; LIDAR data; constant power generation; lightly damped mechanical structures; load reduction; mean wind speed estimation; model based receding horizon control scheme; optimization problems; wind turbine control system; Laser radar; Mathematical model; Poles and towers; Rotors; Shafts; Wind speed; Wind turbines;
Conference_Titel :
Control Applications (CCA), 2011 IEEE International Conference on
Conference_Location :
Denver, CO
Print_ISBN :
978-1-4577-1062-9
Electronic_ISBN :
978-1-4577-1061-2
DOI :
10.1109/CCA.2011.6044407
