• DocumentCode
    578929
  • Title

    A rule-based expert system for the optimal problem of PV systems using particle swarm optimization

  • Author

    Song, Hwachang ; Koh, Jaehwan ; Kim, Kyeonghwa ; Choi, Byoungwook

  • Author_Institution
    Dept. of Electr. Eng. & Inf. Technol., Seoul Nat. Univ. of Sci. & Technol., Seoul, South Korea
  • fYear
    2012
  • fDate
    18-20 July 2012
  • Firstpage
    126
  • Lastpage
    130
  • Abstract
    This paper presents a rule-based expert system for the optimal problem of photovoltaic(PV) system using discrete particle swarm optimization(PSO) in distribution power system. Expert system is applied on the discretization for a real-valued particle´s velocity to a multi-valued discrete variable. In the discrete PSO procedures, several rules in terms of object value and optimization speed are employed to search for an optimal solution. The numerical results show the usefulness of the proposed discrete PSO for the allocation problem.
  • Keywords
    expert systems; particle swarm optimisation; photovoltaic power systems; power engineering computing; PSO; PV systems optimal problem; discrete particle swarm optimization; multivalued discrete variable; photovoltaic system; real-valued particle velocity; rule-based expert system; Convergence; Expert systems; Linear programming; Optimization; Particle swarm optimization; Quantization; Reactive power; Expert; Optimization; PSO; PV; Rule-based;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications (ICIEA), 2012 7th IEEE Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4577-2118-2
  • Type

    conf

  • DOI
    10.1109/ICIEA.2012.6360709
  • Filename
    6360709