Stability Comparison of Fault Location Techniques Against Faulty GPS Time Tagging for Three-Terminal Lines
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://link.springer.com/article/10.1007/s13369-016-2394-x/fulltext.html
Reference30 articles.
1. Mora-Florez, J.; Melendez, J.; Caicedo, G.C.: Comparison of impedance based fault location methods for power distribution systems. J. Electr. Power Syst. Res. 78(4), 657–666 (2008)
2. Izykowski, J.; Rosolowski, E.; Saha, M.M.: Postfault analysis of operation of distance protective relays of power transmission lines. IEEE Trans. Power Deliv. 22(1), 74–81 (2007)
3. Srinivasan, K.; St-Jacques, A.: A new fault location algorithm for radial transmission lines with loads. IEEE Trans. Power Deliv. 4(3), 1676–1682 (1989)
4. Girgis, A.A.; Hart, D.G.; Peterson, W.L.: A new fault location technique for two-and three-terminal lines. IEEE Trans. Power Deliv. 7(1), 98–107 (1992)
5. El-Hami, M.; Lai, L.L.; Daruvala, D.J.; Johns, A.T.: A new travelling-wave based scheme for fault detection on overhead power distribution feeders. IEEE Trans. Power Deliv. 7(4), 1825–1833 (1992)
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