2020
DOI: 10.1016/j.epsr.2019.106062
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A novel transmission line fault detection algorithm based on pilot impedance

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Cited by 20 publications
(9 citation statements)
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“…To evaluate the effects of the line length and capacitive current on the proposed algorithm, a 50 Hz two-machine system operating at 500 kV is tested in PSCAD/EMTDC and the parameters can be referred from Ref. [35].…”
Section: E Influence Of Outliers and Comparison Workmentioning
confidence: 99%
“…To evaluate the effects of the line length and capacitive current on the proposed algorithm, a 50 Hz two-machine system operating at 500 kV is tested in PSCAD/EMTDC and the parameters can be referred from Ref. [35].…”
Section: E Influence Of Outliers and Comparison Workmentioning
confidence: 99%
“…The predicted fault-location error is found to remain far below 1%; hence, this method obviates the need to deal with CT saturation and unreliable zero-sequence parameters of the line. A novel fault detection method is proposed by Tong et al (2020) in [139] for transmission lines, based on pilot impedance method. The authors have shown that the method is insensitive to variation in fault location, fault type, fault resistance and presence of weak source.…”
Section: Correlation-based Analysis Of Fault Signalsmentioning
confidence: 99%
“…Thus, in case of no fault at the power system, the change in injected current at all buses is equal to zero where in case of a fault at transmission line, the change of injected currents at the two buses in transmission lines ends is far from zero. In [11], the authors proposed a method based on the pilot impedance for transmission lines fault detection to improve the sensitivity and reliability of the protection by defining the fault components of positive, negative and zero sequence currents and voltages. Authors in [12] introduced a method for transmission lines fault identification and location based on three-phase estimation framework considering measurement chain error model, the method is suitable for both symmetrical and unsymmetrical networks.…”
Section: Introductionmentioning
confidence: 99%