Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/77613
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Electrical Engineering | - |
dc.creator | Bu, SQ | - |
dc.creator | Zhang, X | - |
dc.creator | Xia, SW | - |
dc.creator | Xu, Y | - |
dc.creator | Zhou, B | - |
dc.creator | Lu, X | - |
dc.date.accessioned | 2018-08-28T01:33:34Z | - |
dc.date.available | 2018-08-28T01:33:34Z | - |
dc.identifier.uri | http://hdl.handle.net/10397/77613 | - |
dc.description | 9th International Conference on Applied Energy, ICAE 2017, Cardiff, United Kingdom21-24 Aug 2017 | en_US |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | © 2017 The Authors. | en_US |
dc.rights | 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 | en_US |
dc.subject | Computational efficiency | en_US |
dc.subject | Damping torque contribution | en_US |
dc.subject | Dynamic model component | en_US |
dc.subject | Reduced model | en_US |
dc.subject | Wind power generation | en_US |
dc.title | Reducing model complexity of DFIG-based wind turbines to improve the efficiency of power system stability analysis | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.spage | 971 | - |
dc.identifier.epage | 976 | - |
dc.identifier.volume | 142 | - |
dc.identifier.doi | 10.1016/j.egypro.2017.12.155 | - |
dcterms.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. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Energy procedia, 2017, v. 142, no. , p. 971-976 | - |
dcterms.isPartOf | Energy procedia | - |
dcterms.issued | 2017 | - |
dc.identifier.scopus | 2-s2.0-85041552917 | - |
dc.relation.conference | International Conference on Applied Energy [ICAE] | - |
dc.identifier.eissn | 1876-6102 | - |
dc.identifier.rosgroupid | 2017003416 | - |
dc.description.ros | 2017-2018 > Academic research: refereed > Publication in refereed journal | - |
dc.description.validate | 201808 bcrc | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_IR/PIRA | en_US |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Conference Paper |
Files in This Item:
File | Description | Size | Format | |
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Bu_Model_Complexity_DFIG-based.pdf | 477.56 kB | Adobe PDF | View/Open |
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