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University of Tennessee at Chattanooga

Fast power network detection of topology change locations using PMU measurements

Abstract

dc:description.abstract

System monitoring and contingency analysis are crucial functions in power control centers. In order to perform these analyses, a complete model of the power network is needed. Moreover, to account for system configuration dynamics, this model must be continuously updated for the purpose of on-line analysis. Several topology processing schemes have been developed in the literature to accomplish this task. The majority of these schemes process breaker statuses to detect changes in system topology. Transformer tap positions as well as statuses of capacitor and reactor bank switches must also be included in the process. This results in a complicated topology processing scheme. In this work, a simple and quick method for on-line detection and identification of system topology changes is introduced. This method is based on representing line outages with fictitious nodal power injections. The injections are calculated using system states obtained from phasor measurement units (PMUs). This scheme can be applied on reduced systems where parts of the network are not covered by PMU measurements. The scheme was tested during different outage events in the IEEE39-bus system. The obtained results validated the algorithm’s ability to detect and identify line outage events effectively and efficiently.

Degree

thesis:*
Grantor dc:publisher
University of Tennessee at Chattanooga
Year dc:date.available
2017

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Mohamed, Elamin Ali Elamin
Contributors dc:contributor
  • Eltom, Ahmed H.
  • Karrar, Abdelrahman A.; Kobet, Gary L.
  • College of Engineering and Computer Science

Subjects

dc:subject × 1

Rights

dc:rights
Language dc:language
English, eng

Identifiers

dc:identifier.*
Repository record dc:identifier
https://scholar.utc.edu/theses/482
OAI identifier oai:identifier
oai:scholar.utc.edu:theses-1636

Chain of custody

source
Harvested from
University of Tennessee - Chattanooga
Base URL
scholar.utc.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Mohamed, Elamin Ali Elamin. Fast power network detection of topology change locations using PMU measurements. University of Tennessee at Chattanooga, 2017. https://scholar.utc.edu/theses/482