Transmission line parameter identification using PMU measurements

Accurate knowledge of transmission line (TL) impedance parameters helps to improve accuracy in relay settings and power flow modeling. To improve TL parameter estimates, various algorithms have been proposed in the past to identify TL parameters based on measurements from Phasor Measurement Units (P...

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Bibliographic Details
Published in:European transactions on electrical power 2011-05, Vol.21 (4), p.1574-1588
Main Authors: Shi, Di, Tylavsky, Daniel J., Koellner, Kristian M., Logic, Naim, Wheeler, David E.
Format: Article
Language:English
Subjects:
Algorithms
Balancing
Estimates
GPS-synchronized phasor measurement
Impedance
linear estimation theory
Mathematical models
Noise
Parameter identification
PMU
positive sequence transmission line model
transmission line impedance parameters
Transmission lines
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Summary:Accurate knowledge of transmission line (TL) impedance parameters helps to improve accuracy in relay settings and power flow modeling. To improve TL parameter estimates, various algorithms have been proposed in the past to identify TL parameters based on measurements from Phasor Measurement Units (PMUs). These methods are based on the positive sequence TL models and can generate accurate positive sequence impedance parameters for a fully transposed TL when measurement noise is absent; however, these methods may generate erroneous parameters when the TLs are not fully transposed or when measurement noise is present. PMU field‐measure data are often corrupted with noise and this noise is problematic for all parameter identification algorithms, particularly so when applied to short TLs. This paper analyzes the limitations of the positive sequence TL model when used for parameter estimation of TLs that are untransposed and proposes a novel method using linear estimation theory to identify TL parameters more reliably. This method can be used for the most general case: short/long lines that are fully transposed or untransposed and have balanced/unbalance loads. Besides the positive/negative sequence impedance parameters, the proposed method can also be used to estimate the zero sequence parameters and the mutual impedances between different sequences. This paper also examines the influence of noise in the PMU data on the calculation of TL parameters. Several case studies are conducted based on simulated data from ATP to validate the effectiveness of the new method. Through comparison of the results generated by this novel method and several other methods, the effectiveness of the proposed approach is demonstrated. Copyright © 2010 John Wiley & Sons, Ltd.
ISSN:1430-144X
1546-3109
1546-3109
DOI:10.1002/etep.522