• DocumentCode
    2317213
  • Title

    Advantage of DMS design approach using knowledge engineering

  • Author

    Spuntupong, Knathip ; Chandarasupsang, Tirapot ; Chakpitak, Nopasit

  • Author_Institution
    Metropolitan Electr. Authority, Bangkok
  • fYear
    2008
  • fDate
    21-24 April 2008
  • Firstpage
    1318
  • Lastpage
    1322
  • Abstract
    Distribution management system has been implemented and utilized by utilities around the world to support the system operators in their decision making process especially when emergencies occur in the distribution system. The system can vary from utility to utility due to the complexity of each system. This inevitably leads to the importance of the Distribution Management System design in order to get the system life cycle assessment. This paper presents an advantage of using a knowledge engineering technique along with knowledge management theory as an alternative approach in designing the Distribution Management System for Metropolitan Electricity Authority, Thailand. The results of this paper show that knowledge engineering technique is suitable to solve the designing problems of the Distribution Management System. Furthermore, this framework can also help utility capture, utilize and update their existing knowledge in designing their own system. Moreover, the comparison with consultant study is also introduced.
  • Keywords
    decision making; distribution networks; knowledge engineering; power system analysis computing; power system management; Metropolitan Electricity Authority; Thailand; decision making process; distribution management system; knowledge engineering; knowledge management theory; system life cycle assessment; Condition monitoring; Corona; Electrodes; Frequency; Knowledge engineering; Partial discharges; Power cables; Principal component analysis; Substations; Testing; Distribution Management System (DMS); Knowledge Analysis and Data Structure (KADS);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Condition Monitoring and Diagnosis, 2008. CMD 2008. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-1621-9
  • Electronic_ISBN
    978-1-4244-1622-6
  • Type

    conf

  • DOI
    10.1109/CMD.2008.4580219
  • Filename
    4580219