• DocumentCode
    966876
  • Title

    Development of an Object-Oriented Service Restoration Expert System With Load Variations

  • Author

    Tsai, Men-Shen

  • Author_Institution
    Nat. Taipei Univ. of Technol., Taipei
  • Volume
    23
  • Issue
    1
  • fYear
    2008
  • Firstpage
    219
  • Lastpage
    225
  • Abstract
    Distribution restoration process is done by switching actions of sectionalizing and tie switches on the feeders. The state of these switches can be determined by applying logical reasoning. Thus, knowledge-based systems are ideal tools to accomplish the task. In this paper, an expert system is developed by utilizing its fast reasoning mechanism and object-oriented features. The feeder component and configuration data are organized in a hierarchy way using the object-oriented programming paradigm. On the other hand, facts are used for representing the information during inference process. Service restoration procedure proposed in this paper takes load variation into consideration. The simulation results indicate that more solutions can be obtained for service restoration problems when load variation is considered. Another unique property of the proposed system is that it is capable of proposing multiple restoration plans. Multiple plans are important for the system operators since the best solution proposed by the system may not be workable in reality. By proposing multiple plans, the system operator can choose a plan which is more suitable to the real situation for service restoration problems.
  • Keywords
    expert systems; inference mechanisms; object-oriented programming; power distribution planning; distribution restoration; expert system; inference process; knowledge-based systems; load variations; logical reasoning; object-oriented programming; object-oriented service; service restoration; system operator; Circuit faults; Engines; Expert systems; Knowledge based systems; Load management; Object oriented modeling; Object oriented programming; Power distribution; Power system restoration; Switches; Expert systems; object-oriented programming; power distribution planning;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2007.907585
  • Filename
    4378288