• DocumentCode
    2497762
  • Title

    Time-interval based volt/VAr control in distribution systems

  • Author

    Zechun, Hu ; Xifan, Wang ; Haoyong, Chen

  • Author_Institution
    Electr. Power Eng. Dept., Xi´´an Jiaotong Univ., China
  • Volume
    1
  • fYear
    2002
  • fDate
    13-17 Oct 2002
  • Firstpage
    81
  • Abstract
    In this paper, a new strategy for volt/VAr control in distribution systems is described. The purpose is to find proper dispatch schedule for on-load tap changer (OLTC) at substation and all switched capacitors based on the next day´s load forecast. To avoid frequent switching operation of OLTC, a time-interval based control strategy is adopted in which a daily load at the substation is divided into several sequential load levels. A genetic algorithm is used in both load level partition and dispatch schedule searching. The proposed strategy can easily satisfy the number limitation of maximum allowable daily switch operations while minimizing the power loss and improving voltage profile in a whole day for the whole system. Numerical results illustrate the feasibility and effectiveness of the proposed approach.
  • Keywords
    genetic algorithms; losses; on load tap changers; power distribution control; power generation dispatch; power generation scheduling; reactive power control; substations; switching; voltage control; dispatch schedule; dispatch schedule searching; distribution systems; genetic algorithm; load forecast; load level partition; maximum allowable daily switch operations; on-load tap changer; power loss minimisation; reactive power control; sequential load levels; substation; switched capacitors; time interval based volt/VAr control; voltage control; voltage profile improvement; Automatic control; Capacitors; Control systems; Dynamic programming; Genetic algorithms; Load forecasting; Reactive power; Substations; Switches; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power System Technology, 2002. Proceedings. PowerCon 2002. International Conference on
  • Print_ISBN
    0-7803-7459-2
  • Type

    conf

  • DOI
    10.1109/ICPST.2002.1053509
  • Filename
    1053509