Date of Graduation
2015
Document Type
Thesis
Degree Type
MS
College
Statler College of Engineering and Mineral Resources
Department
Lane Department of Computer Science and Electrical Engineering
Committee Chair
Muhammad Choudhry
Committee Co-Chair
Hany H Ammar
Committee Member
Ali Feliachi
Abstract
A power system is a huge complex system that delivers the electrical power from the generation units to the consumers. As the demand for electrical power increases, distributed power generation was introduced to the power system. Faults may occur in the power system at any time in different locations. These faults cause a huge damage to the system as they might lead to full failure of the power system. Using distributed generation in the power system made it even harder to identify the location of the faults in the system.;The main objective of this work is to test the different fault location identification algorithms while tested on a power system with the different amount of power injected using distributed generators. As faults may lead the system to full failure, this is an important area for research.;In this thesis different fault location identification algorithms have been tested and compared while the different amount of power is injected from distributed generators. The algorithms were tested on IEEE 34 node test feeder using MATLAB and the results were compared to find when these algorithms might fail and the reliability of these methods.
Recommended Citation
Alkaabi, Salim, "Comparing Different Fault Identification Algorithms in Distributed Power System" (2015). Graduate Theses, Dissertations, and Problem Reports. 5070.
https://researchrepository.wvu.edu/etd/5070