• DocumentCode
    2499045
  • Title

    Pursuit Algorithm for optimized load scheduling

  • Author

    Ali, S.Q. ; Maqbool, S.D. ; Ahamed, T. P Imthias ; Malik, N.H.

  • Author_Institution
    Dept. of Electr. Eng., King Saud Univ., Riyadh, Saudi Arabia
  • fYear
    2012
  • fDate
    6-7 June 2012
  • Firstpage
    193
  • Lastpage
    198
  • Abstract
    Demand Response (DR) has gained importance in the recent years. The prime objective of DR is to reduce the maximum demand. There are various DR schemes. This study focuses on price based DR schemes in which consumer is motivated to change his load demand pattern by pricing based incentives. The paper presents an algorithm to solve the load scheduling problem under variable pricing scheme. To this end the paper formulates the load scheduling problem as a singe stage decision making problem and solves it using Pursuit Algorithm, which maintains an agreeable balance between exploration and exploitation. An algorithm to generate realistic loads is also presented. Simulation experiments were conducted considering different types of loads and pricing.
  • Keywords
    decision making; load shedding; pricing; scheduling; DR schemes; demand response; load demand pattern; load scheduling problem; optimized load scheduling; pricing based incentives; pursuit algorithm; single stage decision making problem; variable pricing scheme; Load modeling; Optimization; Power engineering; Pricing; Pursuit algorithms; Scheduling; Switches; Demand Response; Learning Automata; Maximum Demand; Pursuit Algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering and Optimization Conference (PEDCO) Melaka, Malaysia, 2012 Ieee International
  • Conference_Location
    Melaka
  • Print_ISBN
    978-1-4673-0660-7
  • Type

    conf

  • DOI
    10.1109/PEOCO.2012.6230859
  • Filename
    6230859