Graduation Semester and Year
2012
Language
English
Document Type
Dissertation
Degree Name
Doctor of Philosophy in Electrical Engineering
Department
Electrical Engineering
First Advisor
Wei-Jen Lee
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.
Disciplines
Electrical and Computer Engineering | Engineering
License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
Nashawati, Eithar, "Dynamic System Reduction And Fault Location Identification Using Synchrophasors" (2012). Electrical Engineering Dissertations. 59.
https://mavmatrix.uta.edu/electricaleng_dissertations/59
Comments
Degree granted by The University of Texas at Arlington