Instrument Transformer Calibration and Robust Estimation of Transmission Line Parameters Using PMU Measurements

Goklani, Hemantkumar; Gajjar, Gopal; Soman, S. A.

doi:10.1109/tpwrs.2020.3036605

Cited by 22 publications

(19 citation statements)

References 17 publications

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“…It should be noted that this approach requires knowledge of the exact value of the line length. As rightly noted in the work [16] , modern geodetic tools allow to solve such a problem with a minimum error.…”

Section: Methodology and Algorithmmentioning

confidence: 99%

“…However, it is known that the dependence of specific corona losses is nonlinear on voltage. Also, due to the reactive corona effect, the capacitive conductivity of the transmission line increases with an increase in corona losses [3]. In good weather and, accordingly, low corona losses, the assumption under consideration does not lead to practically significant errors in the control of the power flows.…”

Section: Introductionmentioning

confidence: 99%

“…In good weather and, accordingly, low corona losses, the assumption under consideration does not lead to practically significant errors in the control of the power flows. However, in bad weather conditions, corona losses increase by 1-2 orders of magnitude, which can lead to an increase in the errors of the received control actions and economic damage due to use of simplified EHV transmission lines model, based on the equation of a long line and a refined π-equivalent circuit [3].…”

Section: Introductionmentioning

confidence: 99%

“…To solve this problem, researchers have proposed different ways. An analysis of its current state is given in the article [16]. The authors denote three main approaches to reducing the errors of measuring systems:…”

Section: Introductionmentioning

confidence: 99%

“…Unfortunately, despite a lot of works that have appeared in the last two decades and are devoted to this issue, the problem of improving the accuracy of estimation the lines parameters remains relevant because of the high sensitivity of these parameters to measurement errors. As the authors of [16] note, in order to improve the accuracy of estimation of the lines parameters, it is necessary to simultaneously solve the problem of determining the systematic errors of measuring systems installed at the ends of the lines. Another authors [15] argue that at the time of this writing, they know only one work [13], devoted to the simultaneous determination of the lines parameters and systematic errors of measuring systems.…”

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confidence: 99%

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Estimation of 500 kV power transmission line parameters with PMU

et al. 2021

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This work is devoted to the research of the real-time estimation of 500 kV power transmission lines parameters with PMU based on the solution of the optimization problem of minimizing the root-mean-square deviations of the specific line parameters or the sum of the modules of the correlation coefficients between the specific parameters and the sum of the squares of the voltages or currents measured at the ends of the line. Independent optimization variables are the correction factors of the measuring systems of currents and voltages. Based on an artificially simulated PMU dataset with specified Gaussian noise and systematic errors, it is shown that the use of correlation coefficients in the objective function is more effective than standard deviations. All 5 estimated coefficients turned out to be closer to the reference values. The results of calculations are obtained from the data of real PMUs for an operating 500 kV line with a length of 504.6 km. The deviation of the specific capacitive conductivity from the nominal value is 0.13%, compared with - 0.29% when using the sum of squares of deviations as an objective function.

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Section: Methodology and Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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confidence: 99%

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