• DocumentCode
    2916108
  • Title

    Three-phase fuzzy feeder models for fast distribution system calculations

  • Author

    Wang, Shyi-Wen ; Huang, Wei-Tzer

  • Author_Institution
    Dept. of Electr. Eng., Chienkuo Technol. Univ., Changhua
  • fYear
    2008
  • fDate
    17-20 Dec. 2008
  • Firstpage
    1640
  • Lastpage
    1644
  • Abstract
    Based on fuzzy set theory, this study introduces three novel three-phase fuzzy feeder models for fast distribution system calculations. These fuzzy models are formulated using three lumped individual phase loads to represent single-phase, three-phase unbalanced, and nonuniformly distributed loads along a feeder. The proposed voltage-drop and line-loss fuzzy models are developed to accurately simulate the total series voltage drop at the end and the total copper loss of a given feeder, respectively. A hybrid fuzzy model is then developed to simulate both voltage drop and line loss accurately. The proposed fuzzy models are applied to a physical feeder. Simulation results show that it is possible to simplify complicated feeders to simple equivalent models in the calculations of voltage profiles and line losses with negligible error, even if there are various transformer connection schemes in the feeder.
  • Keywords
    fuzzy control; fuzzy set theory; power distribution control; power transformers; fast distribution system calculations; fuzzy logic control; fuzzy set theory; hybrid fuzzy model; line-loss fuzzy model; three-phase fuzzy feeder models; total series voltage drop; transformer connection schemes; Automatic control; Cities and towns; Copper; Fuzzy control; Fuzzy set theory; Fuzzy systems; Load flow; Power system modeling; Robotics and automation; Voltage; Distribution system; Feeder model; Fuzzy set theory; Three-phase system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation, Robotics and Vision, 2008. ICARCV 2008. 10th International Conference on
  • Conference_Location
    Hanoi
  • Print_ISBN
    978-1-4244-2286-9
  • Electronic_ISBN
    978-1-4244-2287-6
  • Type

    conf

  • DOI
    10.1109/ICARCV.2008.4795772
  • Filename
    4795772