• DocumentCode
    1455755
  • Title

    Determination of the Minimum Break Point Set Using Expert System and Genetic Algorithm

  • Author

    Sharifian, Hoda ; Abyaneh, H. Askarian ; Salman, Salman K. ; Mohammadi, Reza ; Razavi, Farzad

  • Author_Institution
    Dept. of Electr. Eng., Amirkabir Univ. of Technol. (Tehran Polytech.), Tehran, Iran
  • Volume
    25
  • Issue
    3
  • fYear
    2010
  • fDate
    7/1/2010 12:00:00 AM
  • Firstpage
    1284
  • Lastpage
    1295
  • Abstract
    Determination of the minimum break point set (MBPS) in interconnected networks is the key step during calculation and setting of overcurrent relays protection values. Recently, two separate approaches based on expert system and MBPS have been developed respectively. The first one considers the effects of fault level, network configuration, pilot protection and other protection systems. The second one defines protection relay dependency dimension (PRDD) for finding MBPS. By comparison of PRDD in a multi-loop network, the MBPS can be determined, and the process of comparison will not stop until the MBPS of the network is discovered. This paper introduces a new method which takes into account expert rules as well as MBPS simultaneously in the frame of the new objective function of genetic algorithm. It can also generate a new MBPS after each coordination process. The method is applied to the 8-buses and the IEEE 30-buses networks. The obtained results have revealed that the new method is accurate and capable of reducing miscoordinations.
  • Keywords
    expert systems; genetic algorithms; overcurrent protection; power engineering computing; relay protection; IEEE 30-buses networks; expert system; genetic algorithm; minimum break point set determination; network configuration; overcurrent relays protection; pilot protection; protection relay dependency dimension; Coordination; minimum break point set (MBPS); protection; protective relaying; relay settings;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2010.2043999
  • Filename
    5439705