Kalman- Filter Based Recursive Regression for Three-Phase Line Parameter Estimation using Synchrophasor Measurements

被引：0
|
作者：
Mishra, Chetan [1 ]
Centeno, Virgilio A. [1 ]
Pal, Anamitra [2 ]
机构：
[1] Virginia Polytech Inst & State Univ, Bradley Dept Elect & Comp Engn, Blacksburg, VA 24061 USA
[2] Virginia Polytech Inst & State Univ, Virginia Bioinformat Inst, Network Dynam & Simulat Sci Lab, Blacksburg, VA 24061 USA
来源：
2015 IEEE POWER & ENERGY SOCIETY GENERAL MEETING | 2015年
关键词：
Kalman filter; Phasor measurement units (PMUs); Recursive regression; Synchrophasors; Transmission line parameter estimation;
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：
In this paper estimation of three-phase transmission line parameters is done with the help of synchrophasor measurements by using a recursive regression technique based on the Kalman filter. The errors in the regression vector due to presence of noise in the synchrophasor data are also accounted for while estimating the parameters. The performance of this technique is demonstrated for a medium length transmission line. The results indicate that the proposed approach is able to successfully compute three phase transmission line parameters of non-transposed, non-symmetric lines.
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页数：5
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