Title :
State estimation for wind turbine system based on Kalman filter
Author :
Zhihong, Huo ; Yuan, Zheng ; Chang, Xu
Author_Institution :
Coll. of Water Conservancy & Hydropower Eng., Hohai Univ., Nanjing
Abstract :
Consider the parameter uncertainty of the wind power station, wind turbine system state space model with uncertainty and disturb is modeled. State estimation Kalman filter for wind turbine system is designed based on Kalman filter theory. The effectiveness of the proposed Kalman filter is demonstrated with a simulation example.
Keywords :
Kalman filters; control system synthesis; power generation control; state estimation; state-space methods; uncertain systems; wind turbines; Kalman filter theory; parameter uncertainty; state estimation; state space model; wind power station; wind turbine control system design; Control system synthesis; Control systems; Power system modeling; State estimation; State-space methods; Torque control; Uncertain systems; Uncertainty; Wind energy; Wind turbines;
Conference_Titel :
Systems and Control in Aerospace and Astronautics, 2008. ISSCAA 2008. 2nd International Symposium on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-3908-9
Electronic_ISBN :
978-1-4244-2386-6
DOI :
10.1109/ISSCAA.2008.4776214
