Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/77613
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Title: Reducing model complexity of DFIG-based wind turbines to improve the efficiency of power system stability analysis
Authors: Bu, SQ 
Zhang, X
Xia, SW 
Xu, Y
Zhou, B
Lu, X 
Issue Date: 2017
Source: Energy procedia, 2017, v. 142, no. , p. 971-976
Abstract: The growing number of doubly-fed induction generator (DFIG) based wind farms has significantly increased the model complexity and simulation burden for power system stability analysis. In this paper, a novel method to assess the modeling adequacy of DFIGs for small-signal stability analysis is introduced. By evaluating the damping torque contribution to stability margin from different DFIG dynamic model components, the proposed method provides a quantitative index to show the participation level of each DFIG model component in affecting power system damping performance. In addition, five DFIG model reduction schemes are established, and a novel strategy to reduce individual DFIG model complexity based on the participation level is proposed. The effectiveness of the proposed strategy has been demonstrated in the New England test system. It can be concluded that the proposed DFIG model reduction for dynamic studies is undoubtedly beneficial to system planner and operator, in the way of improving computational efficiency when analyzing large-scale power systems with the increasing penetration of wind energy.
Keywords: Computational efficiency
Damping torque contribution
Dynamic model component
Reduced model
Wind power generation
Publisher: Elsevier
Journal: Energy procedia 
EISSN: 1876-6102
DOI: 10.1016/j.egypro.2017.12.155
Description: 9th International Conference on Applied Energy, ICAE 2017, Cardiff, United Kingdom21-24 Aug 2017
Rights: © 2017 The Authors.
The following publication Bu, S. Q., Zhang, X., Xia, S. W., Xu, Y., Zhou, B., & Lu, X. (2017). Reducing model complexity of DFIG-based wind turbines to improve the efficiency of power system stability analysis. Energy Procedia, 142, 971-976 is available athttps://dx.doi.org/10.1016/j.egypro.2017.12.155
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