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High impedance fault modeling and location for transmission line✰.
- Source :
-
Electric Power Systems Research . Jul2021, Vol. 196, pN.PAG-N.PAG. 1p. - Publication Year :
- 2021
-
Abstract
- • A fault location method for transmission lines which does not depend on the HIF model, considering the distributed parameter model. • The proposed formulation can be applied to both high and low impedance fault location. • An adjustable HIF model that allows generating synthetic high impedance faults to reproduce specific behaviors in fault current features, such as number of shoulders and current magnitudes, among others. A fault in a power system generates economic losses, security problems, social problems and can even take human lives. Therefore, it is necessary to have an efficient fault location strategy to reduce the exposure time and recurrence of the fault. This paper presents an impedance-based method to estimate the fault location in transmission lines. The mathematical formulation considers the distributed parameters transmission line model for the estimation of the fault distance, and it is obtained by the application of Gauss-Newton method. Said method considers available voltage and current measurements at both terminals of the transmission line as well as the line parameters. Moreover, the method can be used for locating high and low impedance faults. Additionally, it is proposed an adjustable HIF model to validate its performance, which allows to generate synthetic high impedance faults by setting specific features of a HIF from simple input parameters. The error in fault location accuracy is under 0.1% for more than 90% of the performance test cases. The easy implementation of this method and encouraging test results indicate its potential for real-life applications. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 03787796
- Volume :
- 196
- Database :
- Academic Search Index
- Journal :
- Electric Power Systems Research
- Publication Type :
- Academic Journal
- Accession number :
- 150290713
- Full Text :
- https://doi.org/10.1016/j.epsr.2021.107202