• DocumentCode
    2524299
  • Title

    Optimal placement of DG using multiobjective particle swarm optimization

  • Author

    Phonrattanasak, Prakornchai

  • Author_Institution
    Dept. of Electr. Eng., North Eastern Univ., Khonkaen, Thailand
  • fYear
    2010
  • fDate
    10-12 Sept. 2010
  • Firstpage
    342
  • Lastpage
    346
  • Abstract
    In the future, distributed generation (DG) will play important role in power system network. A grid-connected distributed generation can be a good proposition if consumption of electricity is high. The position of DG effects many ways on power system network. Finding position of DG on power system network will be developed in this paper. An optimal placement of DG on the power system network is proposed by using multiobjective particle swarm optimization (MPSO) to minimize economic and emission costs of overall system. The MPSO is used to minimize simultaneously economic cost and emission of thermal units by changing sitting and varying sizes of DG. We employ IEEE 30 bus system to verify the proposed method. The results show that the proposed method found the optimal sitting and sizing of DG with minimum cost of economic and environmental pollution.
  • Keywords
    distribution networks; particle swarm optimisation; power grids; power system planning; DG effects; IEEE 30 bus system; economic cost; electricity consumption; emission costs; environmental pollution; grid-connected distributed generation; multiobjective particle swarm optimization; optimal placement; optimal sitting; optimal sizing; power system network; thermal units; Economics; Environmentally friendly manufacturing techniques; Maintenance engineering; Pollution; Distributed Generation (DG); Multiobjective Particle Swarm Optimization (MPSO); Power System network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanical and Electrical Technology (ICMET), 2010 2nd International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-8100-2
  • Electronic_ISBN
    978-1-4244-8102-6
  • Type

    conf

  • DOI
    10.1109/ICMET.2010.5598377
  • Filename
    5598377