• DocumentCode
    466276
  • Title

    Assessing distributed generation in an environmental-constrained energy planning

  • Author

    Dicorato, M. ; Forte, G. ; Trovato, M.

  • Author_Institution
    Dipt. di Elettrotec. ed Elettron., Politec. di Bari, Bari
  • fYear
    2007
  • fDate
    24-28 June 2007
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    In this paper, an optimization procedure is proposed for evaluating the contribution of distributed generation (DG) production in the energy planning. A linear programming optimization methodology based on energy flow optimisation model (EFOM) is adopted, detailing the primary energy sources exploitation, power and heat generation, emissions and end-use sectors. The model framework is enhanced in order to include the description of DG contribution. In particular, a detailed description of the electric power grid is carried out, taking into account a subdivision in different voltage levels of the electricity production and the energy demand. The optimisation process, aiming to reduce environmental impact and economical efforts, provides feasible generation settlements between large-scale generation and DG. The proposed methodology is applied to a realistic energy system.
  • Keywords
    cogeneration; distributed power generation; linear programming; power generation planning; power grids; distributed generation assessment; electric power grid; electricity production; end-use sectors; energy flow optimisation model; energy sources exploitation; environmental-constrained energy planning; linear programming optimization methodology; power and heat generation; Distributed control; Environmental economics; Linear programming; Optimization methods; Power generation; Power generation economics; Power system economics; Power systems; Production planning; Voltage; EFOM methodology; distributed generation; energy planning; environmental constraints; renewable energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2007. IEEE
  • Conference_Location
    Tampa, FL
  • ISSN
    1932-5517
  • Print_ISBN
    1-4244-1296-X
  • Electronic_ISBN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PES.2007.385964
  • Filename
    4275730