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
Link To Document :
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