A Novel of Fault Localization Method to Determine Fault Distance for Single Line to Ground Fault in the Distribution Network

In this paper, a novel fault location algorithm in distribution networks based on combination of impedance based method is presented. The voltage sag and current swell from the measurement node are used as input data to estimate the fault distance. To improve the accuracy of the proposed method, the voltage sag and current swell in the un-faulted phase also considered. Test results using a large scale distribution network from Malaysia confirms the accuracy of the proposed method. A comparison is made with the existing method which shows that the proposed method gives more accurate fault distance.

[1]  Seung-Jae Lee,et al.  A Direct Three-Phase Circuit Analysis-Based Fault Location for Line-to-Line Fault , 2007, IEEE Transactions on Power Delivery.

[2]  Adly A. Girgis,et al.  Automated fault location and diagnosis on electric power distribution feeders , 1997 .

[3]  André Darós Filomena,et al.  Distribution systems fault analysis considering fault resistance estimation , 2011 .

[4]  R. Feuillet,et al.  Accurate fault location algorithm for series compensated transmission lines , 2000 .

[5]  Eugeniusz Rosolowski,et al.  Fault location in uncompensated and series-compensated parallel lines , 2000, 2000 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.00CH37077).

[6]  A.S. Bretas,et al.  Extended Fault-Location Formulation for Power Distribution Systems , 2009, IEEE Transactions on Power Delivery.

[7]  Sang-Hee Kang,et al.  An intelligent and efficient fault location and diagnosis scheme for radial distribution systems , 2004, IEEE Transactions on Power Delivery.

[8]  Adly A. Girgis,et al.  A fault location technique for rural distribution feeders , 1991, [Proceedings] 1991 Rural Electric Power Conference. Papers presented at the 35th Annual Conference.

[9]  Haiyu Li,et al.  Non-linear representation of voltage sag profiles for fault location in distribution networks , 2011 .

[10]  Sang-Hee Kang,et al.  An intelligent and efficient fault location and diagnosis scheme for radial distribution systems , 2004 .

[11]  A.S. Bretas,et al.  Extended impedance-based fault location formulation for unbalanced underground distribution systems , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.