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

fYear

2010

fDate

25-29 July 2010

Firstpage

1

Lastpage

7

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy Society General Meeting, 2010 IEEE

Conference_Location

Minneapolis, MN

ISSN

1944-9925

Print_ISBN

978-1-4244-6549-1

Electronic_ISBN

1944-9925

Type

conf

DOI

10.1109/PES.2010.5589646

Filename

5589646