Date of Award
12-2015
Degree Name
Master of Science in Engineering
Department
Electrical and Computer Engineering
First Advisor
Dr. Johnson Asumadu
Second Advisor
Dr. Ikhlas Abdul-Qader
Third Advisor
Dr. Raghvendra Gejji
Fourth Advisor
Dr. Christopher Cho
Keywords
Fault detection, fault classification, fault localization, transmission line, composite relay
Access Setting
Masters Thesis-Open Access
Abstract
This thesis focuses on new approach to detect, classify, and localize the fault in transmission line. Firstly, fault detection was carried out using the New Composite Relay (CR) which, has different characteristics and the ability to detect any type of fault including series faults. Secondly, fault classification was conducted using the Feed Forward Artificial Neural Network (FFANN). In addition, the fault classification led to the investigation of the best use of the FFANN. The data used come from MATLAB/SIMULINK three phase series compensated network. The results obtained using FFANN, were compared with the type of the fault that have been actually applied on the system. Finally, a digital controller was combined with FFANN to appropriately select the type of fault localization that should be used.
Recommended Citation
Altaie, Ahmed Sabri, "Design of a New Digital Relay for Transmission Line Fault Detection, Classification and Localization Based on a New Composite Relay and Artificial Neural Network Approach" (2015). Masters Theses. 652.
https://scholarworks.wmich.edu/masters_theses/652