Title :
Modelling analysis in power system small signal stability considering uncertainty of wind generation
Author :
Wang, Chen ; Shi, Libao ; Yao, Liangzhong ; Wang, Liming ; Ni, Yixin ; Bazargan, Masoud
Author_Institution :
Grad. Sch. at Shenzhen, Tsinghua Univ., Shenzhen, China
Abstract :
The probabilistic small signal stability analysis (PSSSA) considering uncertainty and randomness of wind generation is conducted in this paper. Firstly, the small signal model for wind farm with Doubly-fed Induction Generator (DFIG) type is presented. The stator flux-oriented vector control based method is utilized to implement stator active and reactive powers control in modelling rotor-side converter control strategy. Secondly, a probabilistic small signal stability analysis method based on Monte Carlo simulation is introduced to analyze the influence of uncertainties of wind generation. A case study is carried out on the IEEE New England test system to demonstrate the effectiveness and validity of the proposed model and method. Finally, some preliminary conclusions and comments were drawn based on the numerical results.
Keywords :
Monte Carlo methods; asynchronous generators; machine vector control; power system stability; stators; wind power; Monte Carlo simulation; doubly-fed induction generator; power system small signal stability; reactive power control; rotor-side converter control strategy; stator flux-oriented vector control; wind generation uncertainty; Doubly-fed Induction Generator; Monte carlo simulation; Probabilistic small signal stability analysis; Stator flux-oriented vector control;
Conference_Titel :
Power and Energy Society General Meeting, 2010 IEEE
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4244-6549-1
Electronic_ISBN :
1944-9925
DOI :
10.1109/PES.2010.5589646