• DocumentCode
    1459890
  • Title

    Multiobjective Optimization and Fuzzy Logic Applied to Planning of the Volt/Var Problem in Distributions Systems

  • Author

    De Souza, Benemar Alencar ; De Almeida, Angelo Márcio Formiga

  • Author_Institution
    Dept. of Electr. Eng., Fed. Univ. of Campina Grande, Campina Grande, Brazil
  • Volume
    25
  • Issue
    3
  • fYear
    2010
  • Firstpage
    1274
  • Lastpage
    1281
  • Abstract
    This paper deals with integrated voltage and reactive power control (volt/var) for radial distribution feeders in planning issues, by means of the application of automatic voltage regulators (AVRs) banks and capacitors. A multiobjective genetic algorithm (SPEA2) improved using fuzzy logic is presented to solve the volt/var problem, since it is a combinatorial multiobjective optimization problem. The expert knowledge is taken into account via fuzzy logic in order to reduce the search space using voltage regulators in standard units. According to the multiobjective optimization fundamentals, an optimal solution ensemble is obtained, which concomitantly represents the solutions to both objectives, in such way that the operational restrictions of systems are satisfied. The algorithm is evaluated for a known 69-bus feeder in the literature of the subject. The obtained results demonstrate that the proposed method provides good concordance between the obtained solution and the Pareto front.
  • Keywords
    combinatorial mathematics; fuzzy logic; genetic algorithms; power capacitors; power distribution planning; reactive power control; voltage control; Pareto front; Volt-Var Problem; automatic voltage regulators banks; combinatorial multiobjective optimization; distribution planning; distributions systems; fuzzy logic; integrated voltage control; multiobjective genetic algorithm; radial distribution feeders; reactive power control; Distribution systems; fuzzy logic; integrated volt/var control; multiobjective optimization;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2010.2042734
  • Filename
    5440981