A Comparative Review of Power Systems Faults Prediction Models
Abstract
Electrical faults such as in short circuit conditions in power systems result to outages which minimize the reliability of electrical power system due to the equipment failures such as transformers, human error, rotating machines and environmental conditions. These hindering the flow of electricity, damage to equipment and cause death of humans and animals. In view of these, a fault study is routinely performed by utility engineers. However, there were several methods employed by researchers to monitor the states of some important components in power network such as switchgear and transformers, likewise to predict the fault details in all parts of power system. Thus, in this study, different approaches of fault prediction model of power system employed by researchers were reviewed. These approaches have become powerful tools to mitigate the problem of fault occurrence in power system because these tests are carried out more frequently by utilities. This study therefore will help in future planning and smooth operation of the power system and encourage concerned authority to take adequate steps to guide against the predicted faults details in power system.
Keywords: Electrical Fault, Reliability, Power System, Short Circuit, Utilities, Equipment Failure
DOI: 10.7176/CEIS/12-3-02
Publication date: November 30th 2021
![Download the IISTE publication guideline!](https://www.iiste.org/sub/iiste_footer_journal.jpg)
To list your conference here. Please contact the administrator of this platform.
Paper submission email: CEIS@iiste.org
ISSN (Paper)2222-1727 ISSN (Online)2222-2863
Please add our address "contact@iiste.org" into your email contact list.
This journal follows ISO 9001 management standard and licensed under a Creative Commons Attribution 3.0 License.
Copyright © www.iiste.org