• DocumentCode
    1589234
  • Title

    An introduction to multiobjective optimisation methods for decentralised power planning

  • Author

    Berry, A.M. ; Cornforth, D.J. ; Platt, G.

  • Author_Institution
    Energy Technol. Div., CSIRO, Mayfield West, NSW, Australia
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    Optimising the placement and sizing of distributed generators into decentralised power networks is receiving increasing research attention. The studies presented thus far, however, do not capitalise on the most contemporary techniques described in the multiobjective optimisation literature. This work illustrates, through both theoretical and empirical analyses, the consequences of this deficiency and provides a tutorial on how best to integrate core multiobjective concepts into the optimisation process. Initial results suggest that such integration may be of significant value to both researchers and design-engineers alike.
  • Keywords
    distributed power generation; optimisation; power generation planning; decentralised power planning; distributed generator; multiobjective optimisation method; Australia; Cogeneration; Distributed power generation; Global warming; Industrial power systems; Optimization methods; Power generation; Power generation economics; Power system interconnection; Power system planning; Artificial Intelligence; Cogeneration; Industrial Power Systems; Interconnected Power Systems; Power Distribution Planning; Power Generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power & Energy Society General Meeting, 2009. PES '09. IEEE
  • Conference_Location
    Calgary, AB
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4244-4241-6
  • Type

    conf

  • DOI
    10.1109/PES.2009.5275716
  • Filename
    5275716