Development Of An Intelligent System For Fault Detection And Monitoring Of A Distribution System

Electrical distribution system holds a crucial part in delivering the electric power. It is the final stage after the generation power system and transmission or grid network in delivery the electric power to the consumers. Thus, developing an intelligent system to detect fault at the distribution s...

Full description

Saved in:
Bibliographic Details
Main Author: Mohammad Faridzal Fitri Bin Azizan
Format:
Language:English
Published: 2023
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uniten.dspace-20490
record_format dspace
spelling my.uniten.dspace-204902023-05-04T20:09:14Z Development Of An Intelligent System For Fault Detection And Monitoring Of A Distribution System Mohammad Faridzal Fitri Bin Azizan Distribution Fuzzy Logic Intelligent Electrical distribution system holds a crucial part in delivering the electric power. It is the final stage after the generation power system and transmission or grid network in delivery the electric power to the consumers. Thus, developing an intelligent system to detect fault at the distribution system is vital and indispensable to maintain operations that makes people live more comfortable. An approach by using fuzzy logic as the intelligent concept and idea for fault detection have been introduced. All of the design, parameters and simulation were strictly follow the specifications and requirements of the power distribution system in Malaysia. The data of the output have been recorded and examined thoroughly in order to fulfill and accomplish the objectives. The intelligent system by using fuzzy logic approach for fault detection in a distribution system have establish an appreciable outcome. 2023-05-03T15:02:39Z 2023-05-03T15:02:39Z 2019-10 https://irepository.uniten.edu.my/handle/123456789/20490 en application/pdf
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
language English
topic Distribution
Fuzzy Logic
Intelligent
spellingShingle Distribution
Fuzzy Logic
Intelligent
Mohammad Faridzal Fitri Bin Azizan
Development Of An Intelligent System For Fault Detection And Monitoring Of A Distribution System
description Electrical distribution system holds a crucial part in delivering the electric power. It is the final stage after the generation power system and transmission or grid network in delivery the electric power to the consumers. Thus, developing an intelligent system to detect fault at the distribution system is vital and indispensable to maintain operations that makes people live more comfortable. An approach by using fuzzy logic as the intelligent concept and idea for fault detection have been introduced. All of the design, parameters and simulation were strictly follow the specifications and requirements of the power distribution system in Malaysia. The data of the output have been recorded and examined thoroughly in order to fulfill and accomplish the objectives. The intelligent system by using fuzzy logic approach for fault detection in a distribution system have establish an appreciable outcome.
format
author Mohammad Faridzal Fitri Bin Azizan
author_facet Mohammad Faridzal Fitri Bin Azizan
author_sort Mohammad Faridzal Fitri Bin Azizan
title Development Of An Intelligent System For Fault Detection And Monitoring Of A Distribution System
title_short Development Of An Intelligent System For Fault Detection And Monitoring Of A Distribution System
title_full Development Of An Intelligent System For Fault Detection And Monitoring Of A Distribution System
title_fullStr Development Of An Intelligent System For Fault Detection And Monitoring Of A Distribution System
title_full_unstemmed Development Of An Intelligent System For Fault Detection And Monitoring Of A Distribution System
title_sort development of an intelligent system for fault detection and monitoring of a distribution system
publishDate 2023
_version_ 1806426105691766784
score 13.222552