University of Tennessee at Chattanooga
Fast power network detection of topology change locations using PMU measurements
Abstract
dc:description.abstractSystem 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 × 1Rights
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