A Lissajous based technique for fault detection and faulty phase identification in transmission line
A Lissajous based technique for fault detection and faulty phase identification in transmission line
This study presents a technique for fault detection and faulty phase identification in transmission lines based on the change in the Lissajous pattern. Lissajous figure reveals distinct pattern during faults and can discriminate the faulty condition from the normal operating condition of the line. Fault Index has been calculated considering a quarter cycle moving window and Euclidean norm. Faults can be detected and classified within half cycle from the inception of fault and accurate results have been obtained for fault resistance upto 50 ohms. The ten types of faults have been simulated throughout the length of the transmission line and a threshold value offault index has been considered for fault discrimination. It has been observed that the fault indices of the faulty phases rise above the threshold value within half cycle of fault inception.
Saha, Sayan
8bbe194d-124d-4ee5-b407-f8d6fde4cea6
Debnath, Anushka
ebfe3f1a-43a5-47af-b554-ce8451877920
Pavankumar, Yadala
5cd41b9c-57cc-4ac1-b36d-4143d5d1a81b
Debnath, Sudipta
78351e14-b824-4d90-8e9f-4c2f7bd51d89
26 April 2023
Saha, Sayan
8bbe194d-124d-4ee5-b407-f8d6fde4cea6
Debnath, Anushka
ebfe3f1a-43a5-47af-b554-ce8451877920
Pavankumar, Yadala
5cd41b9c-57cc-4ac1-b36d-4143d5d1a81b
Debnath, Sudipta
78351e14-b824-4d90-8e9f-4c2f7bd51d89
Saha, Sayan, Debnath, Anushka, Pavankumar, Yadala and Debnath, Sudipta
(2023)
A Lissajous based technique for fault detection and faulty phase identification in transmission line.
In 2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT).
IEEE.
6 pp
.
(doi:10.1109/iceeict56924.2023.10157556).
Record type:
Conference or Workshop Item
(Paper)
Abstract
This study presents a technique for fault detection and faulty phase identification in transmission lines based on the change in the Lissajous pattern. Lissajous figure reveals distinct pattern during faults and can discriminate the faulty condition from the normal operating condition of the line. Fault Index has been calculated considering a quarter cycle moving window and Euclidean norm. Faults can be detected and classified within half cycle from the inception of fault and accurate results have been obtained for fault resistance upto 50 ohms. The ten types of faults have been simulated throughout the length of the transmission line and a threshold value offault index has been considered for fault discrimination. It has been observed that the fault indices of the faulty phases rise above the threshold value within half cycle of fault inception.
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Published date: 26 April 2023
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Local EPrints ID: 499828
URI: http://eprints.soton.ac.uk/id/eprint/499828
PURE UUID: 7aad2acc-e365-4fbb-a55b-06a8594244ad
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Date deposited: 07 Apr 2025 16:37
Last modified: 08 Apr 2025 02:12
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Contributors
Author:
Sayan Saha
Author:
Anushka Debnath
Author:
Yadala Pavankumar
Author:
Sudipta Debnath
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