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Conference papers
An On-Line Real-Time Monitoring Method for Locating Natural Triggered Events on Medium Voltage Power Grids
Abstract : Time reversal (TR) has been recently adapted with success to locate faults in power grids, thanks to its location accuracy and robustness against parameters uncertainties. FasTR algorithm, a post-processing approach based on the tenets of TR, has shown promising results in locating disturbances along transmission line networks.
This paper presents the outcome of tests performed on a 2.6 km energized three-phase 20 kV buried pilot network. The tests involve single-phase-to-ground fault occurrences manually triggered, and a 3-month real-time continuous monitoring while the network is in normal operation. The fault location task is performed by a system composed four components: distributed high-speed measurement devices, accurate time synchronization, a communication tool between sensors and the FasTR post-processing algorithm. The obtained results demonstrated the capacity of an on-the-shelf portable system to make an on-line accurate detection of transient faults in a complex network.
Keywords :
Time reversal
fault location
diagnosis
location accuracy
on-line accurate detection
transient fault
defect
cable
sensor
power grid
complex wire network
signal processing
single-phase-to-ground fault occurrence
real-time continuous monitoring
normal operation
distributed high-speed measurement
Reflectometry
Transferometry
accurate time synchronization
https://hal-cea.archives-ouvertes.fr/cea-03078799
Contributor : Marie-France Robbe Connect in order to contact the contributor
Submitted on : Wednesday, December 16, 2020 - 8:18:15 PM
Last modification on : Friday, June 25, 2021 - 10:00:02 AM
Long-term archiving on: : Wednesday, March 17, 2021 - 8:11:48 PM
Contributor : Marie-France Robbe Connect in order to contact the contributor
Submitted on : Wednesday, December 16, 2020 - 8:18:15 PM
Last modification on : Friday, June 25, 2021 - 10:00:02 AM
Long-term archiving on: : Wednesday, March 17, 2021 - 8:11:48 PM
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