• DocumentCode
    2604125
  • Title

    Load shedding in a distribution network

  • Author

    Hirodontis, Stylianos ; Li, Huaqing ; Crossley, Peter A.

  • fYear
    2009
  • fDate
    6-7 April 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Conventional methods of load shedding are too slow, do not effectively calculate the correct amount of load to shed and lack in operating in a coordinated way. This results in either unnecessary or insufficient load reduction. A new technique should be applied that will be fast and optimal relying on slow communication in order for the distribution network to maintain stability and to improve the reliability of supply to customers. This paper assesses the behavior of a 33 kV distribution network consisting of different type and size of loads and distributed generators, with the load shedding technique. The magnitude of the disturbance is determined using the swing equation, obtaining this way a more efficient system operation during emergency conditions with less customer interruption. Explanation of the load shedding architecture implemented and the investigation of its behavior are demonstrated through dynamic simulation using the power system analysis package PSCAD.
  • Keywords
    load shedding; power distribution reliability; power system stability; distribution network reliability; distribution network stability; load shedding technique; power system analysis package PSCAD; voltage 33 kV; Analytical models; Equations; Maintenance; PSCAD; Packaging; Power system analysis computing; Power system dynamics; Power system simulation; Stability; Telecommunication network reliability; adaptive load shedding; distributed generation; intelligent load shedding; islanding; load shedding; self-healing; underfrequency load shedding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4934-7
  • Type

    conf

  • DOI
    10.1109/SUPERGEN.2009.5348255
  • Filename
    5348255