DocumentCode :
189129
Title :
Model based power optimisation of wind farms
Author :
Heer, Flavio ; Esfahani, Peyman Mohajerin ; Kamgarpour, Maryam ; Lygeros, John
Author_Institution :
Autom. Control Lab., ETH Zurich, Zurich, Switzerland
fYear :
2014
fDate :
24-27 June 2014
Firstpage :
1145
Lastpage :
1150
Abstract :
We present a framework for maximising the power output of a wind farm considering wake effects. A parameter representing the total power coefficient of a wind farm is introduced, which quantifies the wind speed deficit due to wake. For any given wake model, this parameter is a function of the blade pitch angle and the tip speed ratio of the individual turbines, and is independent of the wind speed. Thus, the variables associated with each turbine can be optimised offline, given the wind farm layout, in order to determine reference set points that maximise power production. An MPC controller is designed for individual turbines to track the optimal reference set points. The performance is illustrated with the turbine simulator FAST and the wind farm simulator Aeolus SimWindFarm.
Keywords :
control system synthesis; optimisation; power generation control; predictive control; wakes; wind power plants; wind turbines; Aeolus SimWindFarm wind farm simulator; FAST turbine simulator; MPC controller design; blade pitch angle; model based power optimisation; optimal reference set points; power production maximization; tip speed ratio; total power coefficient; wake effects; wake model; wind farm layout; wind speed; wind turbines; Generators; Optimization; Rotors; Torque; Wind farms; Wind speed; Wind turbines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (ECC), 2014 European
Conference_Location :
Strasbourg
Print_ISBN :
978-3-9524269-1-3
Type :
conf
DOI :
10.1109/ECC.2014.6862365
Filename :
6862365
Link To Document :
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