• DocumentCode
    3581518
  • Title

    Electrical network power quality improvement through distributed generation optimum placement based on Breeder Genetic Algorithm method

  • Author

    Yusran

  • Author_Institution
    Dept. of Electr. Eng., Hasanuddin Univ., Makassar, Indonesia
  • fYear
    2014
  • Firstpage
    20
  • Lastpage
    22
  • Abstract
    This paper discussed about electrical network power quality improvement through distributed generation (DG) optimum placement. The objective of DG placement was power losses reduction. The optimization was conducted with Breeder Genetic Algorithm (BGA) method. The simulation result showing that BGA method generated 3.9885 MW or 22.1863 % power losses reduction.
  • Keywords
    distributed power generation; genetic algorithms; power supply quality; BGA method; DG optimum placement; breeder genetic algorithm method; distributed generation optimum placement; electrical network power quality improvement; power 3.9885 MW; power losses reduction; Biological cells; Lead; Optimization; breeder genetic algorithm (BGA); distributed generation (DG); power losses reduction; power quality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering and Informatics (MICEEI), 2014 Makassar International Conference on
  • Print_ISBN
    978-1-4799-6725-4
  • Type

    conf

  • DOI
    10.1109/MICEEI.2014.7067302
  • Filename
    7067302
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3581518