Title :
Small signal modeling and stability analysis of a DFIG based wind power system under unbalanced grid voltage condition
Author :
Tao Wang ; Heng Nian
Author_Institution :
Coll. of Electr. Eng., Zhejiang Univ., Hangzhou, China
Abstract :
This paper investigates the modeling and small signal stability analysis of a grid connected doubly-fed induction generator (DFIG) power system under unbalanced voltage condition. The detailed DFIG system model including turbine, drive train, generator and RSC with proportional-integral-resonant (PIR) current regulator is developed in positive and negative sequence, based on which the loci of the eigenvalues are given, and the impact of PIR parameters and grid voltage unbalance degree on the small signal stability is analyzed. Finally, Simulation models are developed to validate the developed model and to verify the theoretical analysis.
Keywords :
asynchronous generators; eigenvalues and eigenfunctions; electric current control; machine control; power generation control; stability; wind power plants; DFIG power system; PIR parameters; current regulator; eigenvalues; grid connected doubly-fed induction generator; grid voltage unbalance degree; negative sequence; positive sequence; proportional-integral-resonant regulator; small signal modeling; stability analysis; wind power system; Analytical models; Eigenvalues and eigenfunctions; Electromagnetics; Power system stability; Regulators; Stability analysis; Torque; PIR current regulator; doubly-fed induction generator; small signal stability analysis; unbalanced grid voltage;
Conference_Titel :
Electrical Machines and Systems (ICEMS), 2014 17th International Conference on
Conference_Location :
Hangzhou
DOI :
10.1109/ICEMS.2014.7013944
