Nonlinear Analysis on Transmission Line Parameters Estimation From Noisy Phasorial Measurements
被引:8
作者:
De Albuquerque, Felipe Proenca
论文数: 0引用数: 0
h-index: 0
机构:
Univ Sao Paulo, Polytech Sch, BR-05508070 Sao Paulo, BrazilUniv Sao Paulo, Polytech Sch, BR-05508070 Sao Paulo, Brazil
De Albuquerque, Felipe Proenca
[1
]
Marques Da Costa, Eduardo Coelho
论文数: 0引用数: 0
h-index: 0
机构:
Univ Sao Paulo, Polytech Sch, BR-05508070 Sao Paulo, BrazilUniv Sao Paulo, Polytech Sch, BR-05508070 Sao Paulo, Brazil
Marques Da Costa, Eduardo Coelho
[1
]
Ribeiro Pereira, Ronaldo Francisco
论文数: 0引用数: 0
h-index: 0
机构:
Univ Sao Paulo, Polytech Sch, BR-05508070 Sao Paulo, Brazil
Fed Univ Acre UFAC, BR-69920900 Rio Branco, BrazilUniv Sao Paulo, Polytech Sch, BR-05508070 Sao Paulo, Brazil
Ribeiro Pereira, Ronaldo Francisco
[1
,2
]
Bartocci Liboni, Luisa Helena
论文数: 0引用数: 0
h-index: 0
机构:
Fed Inst Educ Sci & Technol Sao Paulo IFSP, BR-01109010 Sao Paulo, BrazilUniv Sao Paulo, Polytech Sch, BR-05508070 Sao Paulo, Brazil
Bartocci Liboni, Luisa Helena
[3
]
De Oliveira, Mauricio Carvalho
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h-index: 0
机构:
Univ Calif San Diego UCSD, La Jolla, CA 92093 USAUniv Sao Paulo, Polytech Sch, BR-05508070 Sao Paulo, Brazil
De Oliveira, Mauricio Carvalho
[4
]
机构:
[1] Univ Sao Paulo, Polytech Sch, BR-05508070 Sao Paulo, Brazil
[2] Fed Univ Acre UFAC, BR-69920900 Rio Branco, Brazil
[3] Fed Inst Educ Sci & Technol Sao Paulo IFSP, BR-01109010 Sao Paulo, Brazil
[4] Univ Calif San Diego UCSD, La Jolla, CA 92093 USA
Transmission line measurements;
Mathematical models;
Estimation;
Power transmission lines;
Noise measurement;
Current measurement;
Phasor measurement units;
Nonlinear least squares method;
parameter estimation;
phasor measurements;
statistical analysis;
overhead transmission lines;
PMU;
UNCERTAINTY;
D O I:
10.1109/ACCESS.2021.3139016
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
This paper proposes a complete and novel approach for estimation of impedance and admittance parameters of transmission lines from phasorial voltage and current measurements. The work uses the rigorous modeling of the noise on the phasorial measurements, and the solution is obtained based on a nonlinear approach of the estimation problem. The distortion introduced into the classical nonlinear model from the noisy data is analyzed by using statistical techniques. Finally, the performance of the estimation method is studied considering various load conditions, time-varying loads, number of samples, and noise on the phasorial measurements. The proposed method shows high accuracy in the line parameters estimation, even with distortions due to high noise levels. In addition, a good performance is also observed with a small quantity of samples, which is not observed in the linear solutions.