• DocumentCode
    2803582
  • Title

    Fuzzy linear programming for reactive power control

  • Author

    Tomsovic, Kevin

  • Author_Institution
    Inst. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
  • fYear
    1990
  • fDate
    5-7 Sep 1990
  • Firstpage
    1120
  • Abstract
    Fuzzy sets are used to generalize the linear programming approach to large-scale power system control problems, and to ensure that the formulated problem accurately reflects the objectives and constraints of the control problem. Multiple objectives and soft constraints are modeled using fuzzy sets. Linear membership functions for the fuzzy sets are defined. Under this definition, the fuzzy optimization problem is reformulated as an equivalent standard linear programming problem. The new objective function represents the compromise among the original competing objectives and the soft constraints. In addition discrete constraints are considered. The approach is applied to the reactive power problem. Numerical examples demonstrate the approach
  • Keywords
    fuzzy set theory; linear programming; optimisation; power system computer control; constraints; discrete constraints; fuzzy linear programming; fuzzy optimization; fuzzy sets; large-scale power system control; objectives; reactive power control; soft constraints; Artificial intelligence; Fuzzy control; Fuzzy set theory; Fuzzy sets; Linear programming; Power system control; Power system modeling; Power systems; Reactive power control; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control, 1990. Proceedings., 5th IEEE International Symposium on
  • Conference_Location
    Philadelphia, PA
  • ISSN
    2158-9860
  • Print_ISBN
    0-8186-2108-7
  • Type

    conf

  • DOI
    10.1109/ISIC.1990.128594
  • Filename
    128594