• DocumentCode
    2043194
  • Title

    Economic optimization with environmental cost for a microgrid

  • Author

    Hui Ren ; Anwei Xiang ; Weijun Teng ; Rongjia Cen

  • Author_Institution
    Dept. of Electr. Eng., North China Electr. Power Univ., Baoding, China
  • fYear
    2012
  • fDate
    22-26 July 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents a generalized formulation for the optimal operation of a microgrid. Multiple-objective optimization is applied to the environmental/ economic problem of the MG, considering the operating cost, fuel cost, depreciation cost as well as environmental cost. Weight coefficient N is proposed to coordinate the proportion of generating cost objective and environmental cost objective. The optimization is aimed at minimizing the total cost of the system while satisfying the customer demand and system security. A detail case, in which the microgrid is consisting of a cluster of wind turbines, micro turbines, photovoltaic arrays and fuel cells, is discussed. And the results demonstrate the efficiency of the proposed approach to satisfy the load and maximize the microgrid´s interests.
  • Keywords
    distributed power generation; environmental economics; optimisation; power generation economics; depreciation cost; economic optimization; environmental cost objective; fuel cells; fuel cost; generating cost objective; microgrid; microturbines; multiple-objective optimization; photovoltaic arrays; system security; weight coefficient; wind turbines; Fuels; Generators; Optimization; Photovoltaic systems; Wind turbines; environmental/ economic problem; micro turbines; microgrid; multiple-objective optimization; photovoltaic arrays and fuel cells; weight coefficient; wind turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2012 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4673-2727-5
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESGM.2012.6344729
  • Filename
    6344729