Line Parameters Estimation in Presence of Uncalibrated Instrument Transformers

Singh, Ravi Shankar; Babaev, Stanislav; Ćuk, V.; Cobben, Sjef; Brom, Helko E. van den

doi:10.23919/smagrimet.2019.8720376

Cited by 7 publications

(2 citation statements)

References 9 publications

(15 reference statements)

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“…In [12] the problem of simultaneous parameters estimation and compensation of systematic measurement errors is addressed neglecting the systematic phase errors of the voltages and the amplitude errors of the currents. In [13] the drawbacks that arise when overlooking bias errors are discussed and a new method is proposed by adding extra parameters in the regression model which account for the bias errors present in the non-calibrated ITs. Paper [14] presents a method for calibrating VTs online using synchrophasor measurements, finding the optimal locations where good quality measurements must be added in order to bring the calibration error of all the measurements below a predefined threshold.…”

Section: Introductionmentioning

confidence: 99%

Enhanced PMU-Based Line Parameters Estimation and Compensation of Systematic Measurement Errors in Power Grids Considering Multiple Operating Conditions

Sitzia

Muscas

Pegoraro

et al. 2022

IEEE Trans. Instrum. Meas.

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Several monitoring, protection, and control applications designed for modern power grids are based on detailed grid models and thus require an accurate knowledge of line parameters. A synchronized monitoring infrastructure based on Phasor Measurement Units (PMUs) may be of great support to the task of line parameters estimation, but the accuracy of the estimated parameters may be largely affected by the uncertainty of all the elements of the PMU-based measurement chain. Thus, an accurate parameters estimation must appropriately consider the metrological behavior of all these elements, and in particular that of instrument transformers. To address this challenge, the paper proposes an enhanced multi-branch method for accurate estimation of the line parameters and of the systematic measurement errors introduced by the instrument transformers when measurements for multiple operating conditions are considered. Indeed, multiple operating conditions are dealt with properly, thanks to an in-depth analysis of the problem modeling within the framework of Tikhonov regularization. The validity of the proposed approach is confirmed by the results obtained on the IEEE 14 bus test system.

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Section: Introductionmentioning

confidence: 99%

Enhanced PMU-Based Line Parameters Estimation and Compensation of Systematic Measurement Errors in Power Grids Considering Multiple Operating Conditions

Sitzia

Muscas

Pegoraro

et al. 2022

IEEE Trans. Instrum. Meas.

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“…The second is the fact that the measurements performed by the LPITs are collected and sent to intelligent electronic devices, phasor measurement units, etc. [38,39], which run algorithms [40][41][42][43][44] developed and implemented to manage the distribution networks, including control of the protective devices. Therefore, if the accuracy and the measurements obtained with the LPITs are worsened/corrupted by external factors, then all the data processing that follows is affected by the propagation of uncertainty and, in most cases, they become useless or no longer reliable.…”

Section: Introductionmentioning

confidence: 99%

Calibration Procedure to Test the Effects of Multiple Influence Quantities on Low-Power Voltage Transformers

Mingotti

Peretto

Tinarelli

2020

Sensors

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The article presents a study on low-power voltage transformers (LPVTs). Considering their increasing spread among Smart Grids, it is fundamental to assess their accuracy behavior in as realistic conditions as possible. Therefore, this article presents a detailed calibration procedure to test LPVTs’ accuracy when various external influence quantities are simultaneously acting on them. In the calibration procedure, the considered quantities are frequency, air temperature, and external electric field. Afterwards, the designed procedure is applied on three different off-the-shelf LPVTs using a measurement setup developed in a laboratory environment. The presented results (i) confirm the easy applicability of the designed calibration procedure; (ii) highlight the various effects of the influence quantities on the accuracy of different types of LPVTs; (iii) confirm the need to include more realistic tests, like the type-tests presented, into the standards to appreciate a wider set of possible in-field behaviors.

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Nonlinear Analysis on Transmission Line Parameters Estimation From Noisy Phasorial Measurements

et al. 2022

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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.INDEX TERMS Nonlinear least squares method, parameter estimation, phasor measurements, statistical analysis, overhead transmission lines.

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Line Parameters Estimation in Presence of Uncalibrated Instrument Transformers

Cited by 7 publications

References 9 publications

Enhanced PMU-Based Line Parameters Estimation and Compensation of Systematic Measurement Errors in Power Grids Considering Multiple Operating Conditions

Enhanced PMU-Based Line Parameters Estimation and Compensation of Systematic Measurement Errors in Power Grids Considering Multiple Operating Conditions

Calibration Procedure to Test the Effects of Multiple Influence Quantities on Low-Power Voltage Transformers

Nonlinear Analysis on Transmission Line Parameters Estimation From Noisy Phasorial Measurements

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