Backpropagation feedforward neural network for fault detection of overhead bipolar HVDC transmission-line
Other Title(s)
الخلايا العصبية الاصطناعية التي تعمل بنظام الانتشار الخلفي و التغذية الأمامية لاكتشاف الأعطال في خطوط النقل الكهربائي ذات التيار المستمر و الفولتية العالية
Dissertant
Thesis advisor
Comitee Members
Hamad, Basil Mahmud
Mushtaha, Muhammad Hatim
University
Islamic University
Faculty
Faculty of Engineering
Department
Electrical Engineering Department
University Country
Palestine (Gaza Strip)
Degree
Master
Degree Date
2015
English Abstract
This research handles detecting, classifying and locating of faults on high voltage direct current (HVDC) transmission line (TL) using backpropagation feedforward artificial neural network (ANN).
An overhead bipolar HVDC TL model of 940-km long and ±500-kV is chosen to be studied.
The HVDC TL post-fault measurements of ac and dc voltages and currents at the rectifier and inverter stations related to pre-fault measurements are used as inputs to the neural networks.
In this research, most frequent kinds of bipolar HVDC TL power faults that may occur can be precisely detected and classified while the location of these faults can be determined with an acceptable percentage of error.
Analysis of 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 detecting, classifying and locating faults on HVDC transmission lines and achieve acceptable performances.
Main Subjects
Topics
No. of Pages
83
Table of Contents
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : HVDC system.
Chapter Three : Techniques of fault detection and location on transmission line.
Chapter Four : Neural networks.
Chapter Five : Model simulation.
Chapter Six : Conclusion.
References.
American Psychological Association (APA)
Ashur, Mahmud Yusuf Mahmud. (2015). Backpropagation feedforward neural network for fault detection of overhead bipolar HVDC transmission-line. (Master's theses Theses and Dissertations Master). Islamic University, Palestine (Gaza Strip)
https://search.emarefa.net/detail/BIM-688118
Modern Language Association (MLA)
Ashur, Mahmud Yusuf Mahmud. Backpropagation feedforward neural network for fault detection of overhead bipolar HVDC transmission-line. (Master's theses Theses and Dissertations Master). Islamic University. (2015).
https://search.emarefa.net/detail/BIM-688118
American Medical Association (AMA)
Ashur, Mahmud Yusuf Mahmud. (2015). Backpropagation feedforward neural network for fault detection of overhead bipolar HVDC transmission-line. (Master's theses Theses and Dissertations Master). Islamic University, Palestine (Gaza Strip)
https://search.emarefa.net/detail/BIM-688118
Language
English
Data Type
Arab Theses
Record ID
BIM-688118
