2021
DOI: 10.1109/tase.2020.2992236
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Influence of Measurement Uncertainty on Parameter Estimation and Fault Location for Transmission Lines

Abstract: Fault location algorithms for transmission lines use the parameters of the transmission line to locate faults after the faults have occurred along the line. Although these parameters can be estimated by the phasor measurement units (PMUs) at the terminal(s) of the transmission line continuously, the uncertainty in the measurements will give rise to stochastic errors in the measured values. Thus, the uncertainty in measurements definitely influences the estimations of the parameters of the transmission line, wh… Show more

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Cited by 31 publications
(16 citation statements)
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“…In the short-term preventive maintenance problem, the uncertainties in the prediction of DG generated powers and load demands will affect the scheduling solutions. In this paper, we include the uncertainties of the DG generations and load demands in the optimization problem as scenarios related to stochastic distributions [42]. The autoregressive moving average (ARMA) model is applied to generate a scenario tree [43].…”
Section: B Scenario Generation Methods and Reduction Methodsmentioning
confidence: 99%
“…In the short-term preventive maintenance problem, the uncertainties in the prediction of DG generated powers and load demands will affect the scheduling solutions. In this paper, we include the uncertainties of the DG generations and load demands in the optimization problem as scenarios related to stochastic distributions [42]. The autoregressive moving average (ARMA) model is applied to generate a scenario tree [43].…”
Section: B Scenario Generation Methods and Reduction Methodsmentioning
confidence: 99%
“…Fault location is of great importance to power transmission line maintenance, power supply reliability and stable power system operation. Frequency domain methods are commonly applied in fault location due to low requirement for sampling frequency, simple algorithm and ample stability [1][2][3][4][5][6]. However, the accuracy of line parameters and phasor estimation is crucial to fault location.…”
Section: Introductionmentioning
confidence: 99%
“…However, the accuracy of line parameters and phasor estimation is crucial to fault location. In recent years, many methods have been proposed to estimate line parameters using the recorded data of power measurement units during the steady state, such as least-squares method [7], optimization technique [8], the recorded data of an adjacent healthy line [9], Newton-Raphson method [10] and maximum likelihood estimation method [1]. But for phasor estimation, in the early stage of fault transient process, the interfering signals dominated by decaying DC components seriously influence the accuracy and stability of frequency domain meth-ods.…”
Section: Introductionmentioning
confidence: 99%
“…Despite these methods show a good performance, the parameters estimation is only possible after transient occurrences (fault, abrupt varying load, lightning etc). On the other hand, there are also estimation methods that are developed in the frequency domain by using phasor measurements at both ends of the line [7]- [11].…”
Section: Introductionmentioning
confidence: 99%