• DocumentCode
    1167354
  • Title

    Reactive power optimization using fuzzy load representation

  • Author

    Abdul-Rahman, K.H. ; Shahidehpour, S.M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA
  • Volume
    9
  • Issue
    2
  • fYear
    1994
  • fDate
    5/1/1994 12:00:00 AM
  • Firstpage
    898
  • Lastpage
    905
  • Abstract
    This paper presents a mathematical formulation for the optimal voltage/reactive power control problem taking into account linguistic declaration of system load values. The fuzzy set theory which is based on the feasibility rather than the frequency of occurrence of an outcome is considered, and possibility distributions are assigned to load values and bus voltages. The objective is to minimize power losses considering various load conditions. The problem is decomposed into four subproblems via the Dantzig-Wolfe decomposition for reducing the dimensions of the problem. A second Dantzig-Wolfe decomposition divides each subproblem into several areas leading to a considerable reduction in the dimensions of subproblems. An illustrative example demonstrates the applicability of the approach. The fuzzy approach provides a global solution for the system behavior under various load conditions
  • Keywords
    fuzzy control; fuzzy set theory; load (electric); optimal control; power control; power system control; probability; reactive power; voltage control; Dantzig-Wolfe decomposition; bus voltages; feasibility; fuzzy load representation; fuzzy set theory; linguistic declaration; optimal control; possibility distributions; power losses; power systems; reactive power; subproblems; Control systems; Fuzzy sets; Fuzzy systems; Optimal control; Power system control; Power system reliability; Power systems; Reactive power; Reactive power control; Voltage control;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.317657
  • Filename
    317657