Date Available
3-29-2012
Year of Publication
2011
Degree Name
Master of Science in Electrical Engineering (MSEE)
Document Type
Thesis
College
Engineering
Department
Electrical Engineering
First Advisor
Dr. Yuan Liao
Abstract
This thesis focuses on detecting, classifying and locating faults on electric power transmission lines. Fault detection, fault classification and fault location have been achieved by using artificial neural networks. Feedforward networks have been employed along with backpropagation algorithm for each of the three phases in the Fault location process. Analysis on neural networks with varying number of hidden layers and neurons per hidden layer has been provided to validate the choice of the neural networks in each step. Simulation results have been provided to demonstrate that artificial neural network based methods are efficient in locating faults on transmission lines and achieve satisfactory performances.
Recommended Citation
Ayyagari, Suhaas Bhargava, "ARTIFICIAL NEURAL NETWORK BASED FAULT LOCATION FOR TRANSMISSION LINES" (2011). University of Kentucky Master's Theses. 657.
https://uknowledge.uky.edu/gradschool_theses/657
