• 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