• DocumentCode
    2978436
  • Title

    Optimal management of MicroGrid using Bacterial Foraging Algorithm

  • Author

    Noroozian, R. ; Vahedi, H.

  • Author_Institution
    Electr. Eng. Dept., Zanjan Univ., Zanjan, Iran
  • fYear
    2010
  • fDate
    11-13 May 2010
  • Firstpage
    895
  • Lastpage
    900
  • Abstract
    This paper focused on optimal operating strategy and cost optimization scheme for a MicroGrid by using Bacterial Foraging Algorithm. Prior to the optimization of the microgrid itself, the system model components from some real manufactural data are constructed. The proposed cost function takes into consideration the costs of the emissions NOx, SO2, and CO2 as well as the operation and maintenance costs. The battery storage is used for storing excess energy. The optimization is aimed at minimizing the cost function of the system while constraining it to meet the customer demand and safety of the system.
  • Keywords
    Batteries; Cost function; Density estimation robust algorithm; Economic forecasting; Environmental economics; Fuel economy; Microorganisms; Power generation; Power generation economics; Power system modeling; Bacterial Foraging Algorithm; cost optimization; microgrid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering (ICEE), 2010 18th Iranian Conference on
  • Conference_Location
    Isfahan, Iran
  • Print_ISBN
    978-1-4244-6760-0
  • Type

    conf

  • DOI
    10.1109/IRANIANCEE.2010.5506951
  • Filename
    5506951