Neurofuzzy implementation of digital protection for power transmission systems
Protecting transmission lines is an important task to safeguard electric power systems. Faults on transmission lines need to be detected, classified and located accurately for speedy clearance and reclosure. In this framework the most important aspects are fast and reliable fault detection and class...
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Format: | Thesis |
Language: | English |
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2009
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Online Access: | http://hdl.handle.net/10356/19583 |
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author | Wang, Hui Sheng. |
author2 | Choi, San Shing |
author_facet | Choi, San Shing Wang, Hui Sheng. |
author_sort | Wang, Hui Sheng. |
collection | NTU |
description | Protecting transmission lines is an important task to safeguard electric power systems. Faults on transmission lines need to be detected, classified and located accurately for speedy clearance and reclosure. In this framework the most important aspects are fast and reliable fault detection and classification. The traditional protection algorithms are based on deterministic computations on a well-defined model of the system to be protected. This results in difficulty in taking system variation into account when the rules vary. They do not have the ability to adapt dynamically to the system operating conditions, and to make correct decisions if the signals are uncertain. |
first_indexed | 2024-10-01T06:05:00Z |
format | Thesis |
id | ntu-10356/19583 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T06:05:00Z |
publishDate | 2009 |
record_format | dspace |
spelling | ntu-10356/195832023-07-04T15:26:07Z Neurofuzzy implementation of digital protection for power transmission systems Wang, Hui Sheng. Choi, San Shing School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution Protecting transmission lines is an important task to safeguard electric power systems. Faults on transmission lines need to be detected, classified and located accurately for speedy clearance and reclosure. In this framework the most important aspects are fast and reliable fault detection and classification. The traditional protection algorithms are based on deterministic computations on a well-defined model of the system to be protected. This results in difficulty in taking system variation into account when the rules vary. They do not have the ability to adapt dynamically to the system operating conditions, and to make correct decisions if the signals are uncertain. Master of Engineering 2009-12-14T06:16:27Z 2009-12-14T06:16:27Z 1997 1997 Thesis http://hdl.handle.net/10356/19583 en NANYANG TECHNOLOGICAL UNIVERSITY 140 p. application/pdf |
spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution Wang, Hui Sheng. Neurofuzzy implementation of digital protection for power transmission systems |
title | Neurofuzzy implementation of digital protection for power transmission systems |
title_full | Neurofuzzy implementation of digital protection for power transmission systems |
title_fullStr | Neurofuzzy implementation of digital protection for power transmission systems |
title_full_unstemmed | Neurofuzzy implementation of digital protection for power transmission systems |
title_short | Neurofuzzy implementation of digital protection for power transmission systems |
title_sort | neurofuzzy implementation of digital protection for power transmission systems |
topic | DRNTU::Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution |
url | http://hdl.handle.net/10356/19583 |
work_keys_str_mv | AT wanghuisheng neurofuzzyimplementationofdigitalprotectionforpowertransmissionsystems |