• DocumentCode
    3574429
  • Title

    Genetic algorithm based optimal allocation of a distributed generator in a radial distribution feeder

  • Author

    Prasanna, H. A. Maruthi ; Kumar, M. V. Likith ; Ananthapadmanabha, T.

  • Author_Institution
    Dept. of EEE, Nat. Inst. of Eng., Mysore, India
  • fYear
    2014
  • Firstpage
    184
  • Lastpage
    190
  • Abstract
    This paper proposes a multi objective optimization method to determine optimal allocation of a distributed generation (DG) unit in a radial distribution feeder. The DG allocation problem has been formulated as multi objective function which includes two objectives: viz Power Loss Reduction and Tail End Node Voltage Improvement with associated weights. The proposed methodology uses Genetic Algorithm to optimize the multi objective function. This method is tested on standard IEEE 33 bus and 69 bus radial distribution systems using MATLAB 8.0. The results show that the proposed method yields considerable tail end node voltage improvement along with significant reduction in line losses.
  • Keywords
    distributed power generation; distribution networks; genetic algorithms; DG allocation problem; IEEE 33 bus radial distribution systems; IEEE 69 bus radial distribution systems; MATLAB 8.0; associated weights; distributed generation unit; genetic algorithm; multiobjective optimization; optimal allocation; power loss reduction; radial distribution feeder; tail end node voltage improvement; Biological cells; Genetic algorithms; Indexes; Linear programming; Optimization; Resource management; Sociology; Distributed Generation; Distribution System; Genetic Algorithm; PLR Index; TENVD Index;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuit, Power and Computing Technologies (ICCPCT), 2014 International Conference on
  • Print_ISBN
    978-1-4799-2395-3
  • Type

    conf

  • DOI
    10.1109/ICCPCT.2014.7054964
  • Filename
    7054964