• DocumentCode
    1483476
  • Title

    Multiobjective Underfrequency Load Shedding in an Autonomous System Using Hierarchical Genetic Algorithms

  • Author

    Hong, Ying-Yi ; Wei, Shih-Fan

  • Author_Institution
    Dept. of Electr. Eng., Chung Yuan Christian Univ., Chungli, Taiwan
  • Volume
    25
  • Issue
    3
  • fYear
    2010
  • fDate
    7/1/2010 12:00:00 AM
  • Firstpage
    1355
  • Lastpage
    1362
  • Abstract
    Load shedding schemes are important approaches for operators to maintain the power system in a stable and reliable condition when the system suffers from a severe disturbance. The underfrequency relay, which is one of the load shedding facilities, provides a protection to crucial facilities when the system frequency declines to prespecified settings. This paper determines the percentage of load allowed to be shed and crucial parameters, including the number of stages and delayed time, for the underfrequency relay (81L). The hierarchical genetic algorithm is employed to minimize the amount of shed load and maximize the lowest swing frequency. An autonomous system with diesel generators and wind-power generators is employed to illustrate the applicability of the proposed method.
  • Keywords
    genetic algorithms; load shedding; power system reliability; power system stability; autonomous system; diesel generators; hierarchical genetic algorithms; multiobjective underfrequency load shedding; power system; swing frequency; underfrequency relay; wind power generators; Autonomous system; genetic algorithm (GA); load shedding; underfrequency relay;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2010.2046679
  • Filename
    5458025