Oscillation analysis of a DFIG-based wind farm interfaced with LCC-HVDC

No Thumbnail Available
Authors
Yang, Lin
Xiao, XiangNing
Pang, Chengzong
Issue Date
2014-12
Type
Article
Language
en_US
Keywords
Doubly-fed induction generator , Line commutated converter based HVDC , Subsynchronous oscillation , Low-frequency oscillation , Eigenvalue , Participation factor
Research Projects
Organizational Units
Journal Issue
Alternative Title
Abstract

With the increasing capacity of wind farm, HVDC technology has become a promising transmission scheme for long distance transportation of large-scale wind power. However oscillation caused by this system will have a great influence on the security and stability of power system operation. In this paper, the oscillation of a doubly-fed induction generator (DFIG)-based wind farm interfaced with line commutated converter (LCC) based HVDC is discussed. Low-frequency oscillation and subsynchronous oscillation (SSO) are studied since these two oscillations are the particularly concerned oscillations in the stability study of power system in recent years. The model of a DFIG-based wind farm interconnected with LCC-HVDC is developed. The impact of drive train model's structure and parameters on the oscillation characteristics is analyzed. Eigenvalue and participation factor analysis are used to identify the three main modes, which include controller mode, electromechanical mode, and shaft mode. The effects of DFIG controller's parameters, wind speed and operating conditions of HVDC on those modes are studied. Electromagnetic transient simulations are performed to verify the results of the eigenvalue analysis.

Description
Click on the DOI link to access the article (may not be free).
Citation
Yang, Lin; Xiao, XiangNing; Pang, ChengZong. 2014. Oscillation analysis of a DFIG-based wind farm interfaced with LCC-HVDC. Science China Technological Sciences, vol. 57:no. 12:pp 2453-2465
Publisher
Springer International Publishing AG
License
Journal
Volume
Issue
PubMed ID
DOI
ISSN
1674-7321
EISSN