• DocumentCode
    2604497
  • Title

    Optimization of distributed energy systems taking into account energy saving and emission reduction

  • Author

    Lei, J. ; Xin, H. ; Xie, J. ; Gan, D.

  • Author_Institution
    Coll. of Electr. Eng., Zhejiang Univ., Hangzhou, China
  • fYear
    2009
  • fDate
    6-7 April 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The emergence and development of distributed resources (DR) provide a significant technological option for energy-saving and emission-reducing. From the viewpoint of power distribution utility operator, this paper firstly provides a comprehensive analysis of DR to assess the level of environmental benefits, and points out the potential value of DR for reducing air pollution and increasing energy efficiency. Subsequently, a general energy supply optimization model with a wide range of DR, which takes into account environmental impacts (emissions penalties) as external costs to the total costs, is proposed. Considering that the proposed model is a complex combinatorial optimization problem, and that the difficulty is further exacerbated by the uncertainty of power output of intermittent energy resources, heuristic algorithm, which is applied in traditional generation expansion planning, is adopted. Finally, a distribution network is employed to illustrate the proposed model and algorithm, with the simulation results discussed.
  • Keywords
    combinatorial mathematics; distributed power generation; environmental factors; optimisation; power generation planning; combinatorial optimization problem; distributed energy system; emission reduction; energy saving; environmental benefit; generation expansion planning; heuristic algorithm; intermittent energy resource; power distribution utility operator; power output uncertainty; Air pollution; Cogeneration; Cost function; Energy efficiency; Fuels; Heuristic algorithms; Power distribution; Power generation; Power system modeling; Thermal pollution; Distributed resource; distributed energy supply system; emissions penalties; energy saving and emission reduction; heuristic algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4934-7
  • Type

    conf

  • DOI
    10.1109/SUPERGEN.2009.5348275
  • Filename
    5348275