Abstract—This paper describes the application of the abrupt
change detection technologies to detect the abrupt changes in
the signals recorded during disturbances in the electrical power
network of South Africa for disturbance analysis and relay performance
monitoring. The aim is to estimate the time instants of the
changes in the signal model parameters during the prefault condition,
after initiation of fault, after the circuit-breaker opening and
autoreclosure, etc. After these event-specific segmentations, the
synchronization of the different digital fault recorder recordings
are done based on the fault inception timings. The synchronized
signals are segmented again. This synchronized segmentation is the
first step toward automatic disturbance recognition, facilitating
further complex feature vector analysis and pattern recognition.
Besides, the synchronized, segmented recordings can be directly
used to analyze certain kinds of disturbances and monitor the
relay performance. This paper presents many practical examples
from the power network in South Africa.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:tut/oai:encore.tut.ac.za:d1000816 |
| Date | 19 December 2006 |
| Creators | Ukil, A, Zivanovic, R |
| Publisher | IEEE Transactions on Power Delivery |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Text |
| Format | |
| Rights | IEEE Transactions on Power Delivery |
| Relation | ISI |
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