Title :
Parameter identification of doubly-fed induction generator by the Levenberg-Marquardt-Fletcher method
Author :
Xiaoyu Wang ; Jian Xiong ; Lin Geng ; Jinghong Zheng ; Shouzhen Zhu
Author_Institution :
Dept. of Electron., Carleton Univ., Ottawa, ON, Canada
Abstract :
This paper presents a parameter identification approach based on the Levenberg-Marquardt-Fletcher (LMF) algorithm to obtain the doubly-fed induction generator (DFIG) parameters in case of incomplete or inaccurate parameters. The DFIG model and the LMF method are introduced at first. The parameter identification process is then described in details. The accuracy of the identified parameters is verified in a simulation case where real parameters are used as the reference values.
Keywords :
asynchronous generators; least squares approximations; wind turbines; DFIG model; LMF method; Levenberg-Marquardt-Fletcher method; doubly-fed induction generator; parameter identification; parameter identification process; Algorithm design and analysis; Energy measurement; Mercury (metals); Parameter estimation; Q measurement; Velocity measurement; Wind speed; Wind turbine; doubly-fed induction generator; equivalent model; parameter identification; power system analysis;
Conference_Titel :
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location :
Vancouver, BC
DOI :
10.1109/PESMG.2013.6672535
