Exciter Model Reduction and Validation for Large-scale Power System Dynamic Security Assessment

被引:0
|
作者
Choi, Byoung-Kon [1 ]
Chiang, Hsiao-Dong [2 ]
Wu, Hongbin [3 ]
Li, Hua [4 ]
Yu, David C. [1 ]
机构
[1] Univ Wisconsin, Dept Elect Engn & Comp Sci, Milwaukee, WI 53201 USA
[2] Cornell Univ, Sch Elect & Comp Engn, Ithaca, NY 14853 USA
[3] Hefei Univ Technol, Sch Elect Engn & Automat, Hefei, Peoples R China
[4] Bigwood Syst Inc, Ithaca, NY 14850 USA
关键词
critical clearing time; exciter model reduction; large-scale power systems; on-line dynamic security assessment;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Reduction of the complexity of dynamic units such as excitation systems is one of key factors for large-scale power system dynamic simulations demanding high computation speed. In this paper comprehensive AC/DC type excitation system models which are available in power industry, are simplified to first- and second-order reduced models using frequency domain based model reduction methods. The simplified exciter models are tested for a large-scale power system. The accuracy of critical clearing time (CCT) estimate of the reduced models is compared with that of original models for selected contingencies. Numerical results show that the simplified exciter models provide a fairly accurate representation of the original comprehensive models.
引用
收藏
页码:5107 / +
页数:2
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