• DocumentCode
    2168397
  • Title

    Scheduling of direct load control by a recursive genetic algorithm

  • Author

    Yao, Leehter ; Hsieh, Kai-chin

  • Author_Institution
    Nat. Taipei Univ. of Technol., Taiwan
  • Volume
    3
  • fYear
    1998
  • fDate
    11-14 Oct 1998
  • Firstpage
    2460
  • Abstract
    A modified GA called recursive GA is proposed to optimize the scheduling of direct load control strategies. The control strategy (or scheduling) arranged by the recursive GA not only shed the load so that the load required to be shed at each sampling interval is individually satisfied, but also minimize the shedding load to minimize the utility company´s revenue loss due to DLC. Moreover, the scheduling obtained by the proposed recursive GA tends to level off the accumulated shedding time of each load group to avoid customers´ complaints about fairness of shedding time
  • Keywords
    digital simulation; genetic algorithms; load regulation; load shedding; power generation scheduling; probability; accumulated shedding time; direct load control; recursive genetic algorithm; revenue loss; sampling interval; Air conditioning; Control systems; Genetic algorithms; Load flow control; Marketing and sales; Optimal scheduling; Power generation; Radio control; Switches; Turning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-4778-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.1998.725026
  • Filename
    725026