• DocumentCode
    791663
  • Title

    Volt/VAr control in distribution systems using a time-interval based approach

  • Author

    Hu, Z. ; Wang, X. ; Chen, H. ; Taylor, G.A.

  • Author_Institution
    Electr. Power Eng. Dept., Xi´´an Jiaotong Univ., China
  • Volume
    150
  • Issue
    5
  • fYear
    2003
  • Firstpage
    548
  • Lastpage
    554
  • Abstract
    A strategy for volt/VAr control in distribution systems is described. The aim is to determine optimum dispatch schedules for on-load tap changer (OLTC) settings at substations and all shunt capacitor switching based on the day-ahead load forecast. To reduce switching operations for OLTC at substations, a time-interval based control strategy is adopted that decomposes a daily load forecast into several sequential load levels. A genetic algorithm based procedure is used to determine both the load level partitioning and the dispatch scheduling. The proposed strategy minimises the power loss and improves the voltage profile for a whole day across the whole system, whilst ensuring that the number of switching operations is less than the maximum daily allowance. A comparison of numerical studies and their associated results illustrates both the feasibility and the effectiveness of the proposed strategy.
  • Keywords
    capacitor switching; genetic algorithms; load forecasting; losses; on load tap changers; power distribution control; power generation dispatch; power generation scheduling; reactive power control; substations; voltage control; VAr control; daily load forecast decomposition; day-ahead load forecast; dispatch scheduling; distribution systems; genetic algorithm based procedure; load level partitioning; maximum daily allowance; on-load tap changer; optimum dispatch schedules; power loss minimisation; shunt capacitor switching; substations; switching operations; switching operations reduction; time-interval based control strategy; volt control; voltage profile improvement;
  • fLanguage
    English
  • Journal_Title
    Generation, Transmission and Distribution, IEE Proceedings-
  • Publisher
    iet
  • ISSN
    1350-2360
  • Type

    jour

  • DOI
    10.1049/ip-gtd:20030562
  • Filename
    1233537