Double-circuit transmission-line fault location with the availability of limited voltage measurements

Ning Kang, Yuan Liao

Research output: Contribution to journalArticlepeer-review

58 Scopus citations


This paper presents a new approach for locating short-circuit faults on a double-circuit transmission line. Various algorithms have been proposed previously that usually require measurements recorded from one or two buses of the faulted line. However, such measurements may not always be available in some scenarios, rendering inapplicability of existing methods. To complement existing methods, this paper proposes a novel, general fault-location method by harnessing voltage measurements at one or more buses, which may not be taken from the faulted line. The bus impedance matrix of each sequence network with the addition of a fictitious bus at the fault point can be derived as a function of the fault location. The fault location can then be obtained based on the bus impedance matrix and voltage measurements. The distributed parameter line model is utilized. The network data are assumed to be available so that the bus impedance matrix can be constructed. When multiple voltage measurements are available, an optimal estimator capable of identifying bad measurement data is also proposed for enhanced fault location. Since field data are not available at this time, simulated data are utilized for evaluation studies, and quite accurate results have been achieved.

Original languageEnglish
Article number6051509
Pages (from-to)325-336
Number of pages12
JournalIEEE Transactions on Power Delivery
Issue number1
StatePublished - Jan 2012

Bibliographical note

Funding Information:
Manuscript received May 20, 2011; revised August 01, 2011; accepted September 08, 2011. Date of publication October 18, 2011; date of current version December 23, 2011. This work was supported by the National Science Foundation under Grant ECCS-0801367. Paper no. TPWRD-00425-2011. N. Kang is with ABB Corporate Research Center, Raleigh, NC 27606 USA (e-mail: [email protected]). Y. Liao is with the Department of Electrical and Computer Engineering, University of Kentucky, Lexington, KY 40506 USA (e-mail: [email protected]). Digital Object Identifier 10.1109/TPWRD.2011.2168547


  • Bus impedance matrix
  • distributed parameter line model
  • double-circuit transmission line
  • fault location
  • optimal estimator

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering


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