ATTENTION: The works hosted here are being migrated to a new repository that will consolidate resources, improve discoverability, and better show UTA's research impact on the global community. We will update authors as the migration progresses. Please see MavMatrix for more information.
Show simple item record
dc.contributor.author | Nashawati, Eithar | en_US |
dc.date.accessioned | 2012-07-25T19:22:42Z | |
dc.date.available | 2012-07-25T19:22:42Z | |
dc.date.issued | 2012-07-25 | |
dc.date.submitted | January 2012 | en_US |
dc.identifier.other | DISS-11583 | en_US |
dc.identifier.uri | http://hdl.handle.net/10106/11149 | |
dc.description.abstract | The advent of the synchronized phasor measurement units' technology allow for new applications to the power systems and improvement of existing applications. This dissertation presents a new method for synchrophasor-assisted fault location. An initial screening of voltage phase angle swing determines the suspect part of the system where the disturbance occurred. The system is then reduced to a limited number of buses. A Positive-sequence voltage-only method is then used to provide a better estimation of the exact location of the fault using particle swarm optimization. This method is applied to a large power system in North Texas. Real-time synchrophasor measurement units are used from across the power system to identify the fault location. Results are compared to traditional fault location methods that utilize non-synchronized current measurements to locate faults. Several cases are examined and results show accurate estimation of the fault location by using the proposed approach. | en_US |
dc.description.sponsorship | Lee, Wei-Jen | en_US |
dc.language.iso | en | en_US |
dc.publisher | Electrical Engineering | en_US |
dc.title | Dynamic System Reduction And Fault Location Identification Using Synchrophasors | en_US |
dc.type | Ph.D. | en_US |
dc.contributor.committeeChair | Lee, Wei-Jen | en_US |
dc.degree.department | Electrical Engineering | en_US |
dc.degree.discipline | Electrical Engineering | en_US |
dc.degree.grantor | University of Texas at Arlington | en_US |
dc.degree.level | doctoral | en_US |
dc.degree.name | Ph.D. | en_US |
Files in this item
- Name:
- Nashawati_uta_2502D_11583.pdf
- Size:
- 488.6Kb
- Format:
- PDF
This item appears in the following Collection(s)
Show simple item record