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Fault Detection and Localization in Transmission Lines with a Static Synchronous Series CompensatorREYES-ARCHUNDIA, E. , GUARDADO, J. L. , MORENO-GOYTIA, E. L. , GUTIERREZ-GNECCHI, J. A. , MARTINEZ-CARDENAS, F.
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fault location, flexible AC transmission systems, transmission lines, wavelet transform, waves propagation
power(16), systems(11), transmission(9), fault(9), distance(9), energy(7), relay(6), wavelet(5), protection(5), jijepes(5)
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About this article
Date of Publication: 2015-08-31
Volume 15, Issue 3, Year 2015, On page(s): 17 - 22
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2015.03003
Web of Science Accession Number: 000360171500003
SCOPUS ID: 84940783056
This paper proposes a fault detection and localization method for power transmission lines with a Static Synchronous Series Compensator (SSSC). The algorithm is based on applying a modal transformation to the current and voltage signals sampled at high frequencies. Then, the wavelet transform is used for calculating the current and voltage traveling waves, avoiding low frequency interference generated by the system and the SSSC. Finally, by using reflectometry principles, straightforward expressions for fault detection and localization in the transmission line are derived. The algorithm performance was tested considering several study cases, where some relevant parameters such as voltage compensation level, fault resistance and fault inception angle are varied. The results indicate that the algorithm can be successfully be used for fault detection and localization in transmission lines compensated with a SSSC. The estimated error in calculating the distance to the fault is smaller than 1% of the transmission line length. The test system is simulated in PSCAD platform and the algorithm is implemented in MATLAB software.
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 Reactive Power Compensation by Static Synchronous Series Compensator, Nagar, Pooja, Mittal, S. C., 2016 International Conference on Micro-Electronics and Telecommunication Engineering (ICMETE), ISBN 978-1-5090-3411-6, 2016.
Digital Object Identifier: 10.1109/ICMETE.2016.42 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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