DocumentCode
2774910
Title
Autonomic Computing Application in Power System Distributions
Author
Al-Zawi, M. ; Al-Jumeily, D. ; Hussain, A. ; Abdelsalam, T.F.
Author_Institution
Liverpool John Moores Univ., Liverpool
fYear
2007
fDate
18-20 Nov. 2007
Firstpage
417
Lastpage
420
Abstract
Maintaining the reliability and stability is an important subject in power system distributions research area. Recently many IT applications have been implemented successfully in power system; such as numerical relays, digital distribution management systems (DMS), and energy management systems (EMS). This paper presents an implementation of an integrated external monitoring system to identify and recover the failure in numerical over current relay using neural network. This approach will then be used as a monitoring unit in self-healing which is one of the main characteristics of autonomic computing. Feed forward neural network is implemented to measure and predict the availability of substation numerical protection in order to enhance their availability.
Keywords
computerised monitoring; failure analysis; feedforward neural nets; power distribution faults; power distribution reliability; power engineering computing; power system stability; autonomic computing application; feed forward neural network; integrated external monitoring system; power system distributions; power system reliability; power system stability; substation availability; Computer applications; Condition monitoring; Digital relays; Distributed computing; Energy management; Power system management; Power system relaying; Power system reliability; Power system stability; Power systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovations in Information Technology, 2007. IIT '07. 4th International Conference on
Conference_Location
Dubai
Print_ISBN
978-1-4244-1840-4
Electronic_ISBN
978-1-4244-1841-1
Type
conf
DOI
10.1109/IIT.2007.4430493
Filename
4430493
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