• DocumentCode
    3214457
  • Title

    The distributed generator placement and sizing test suite and analysis tool

  • Author

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

  • Author_Institution
    Energy Technol. Div., CSIRO, Mayfield West, NSW
  • fYear
    2009
  • fDate
    15-18 March 2009
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    The concept of integrating small-scale embedded generators into the distribution system has been gaining increasing traction in the research community and with it has come a growing set of contemporary works from the field of artificial intelligence. Thus far however, the studies have failed to explore a diverse set of problems, lack analytical rigour, offer scant comparison between approaches and often fail to use models based on real-world loads or generators. This work describes the new DG PAST SAT software, which is freely available, open to community input and features a rich repository of distribution system resources and a comprehensive test problem suite. When coupled with included analysis utilities, the DG PAST SAT system provides the tools and data for improved research quality in the distribution system planning phase.
  • Keywords
    distributed power generation; power distribution planning; power engineering computing; power generation planning; DG PAST SAT software; analysis tool; artificial intelligence; distributed generator placement; distributed generator sizing; distribution system planning; small-scale embedded generators; test suite; Artificial intelligence; Cogeneration; Distributed power generation; Industrial power systems; Power distribution; Power generation; Power system interconnection; Power system planning; Software testing; System testing; Artificial Intelligence; Cogeneration; Industrial Power Systems; Interconnected Power Systems; Power Distribution Planning; Power Generation; Software Tools; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Systems Conference and Exposition, 2009. PSCE '09. IEEE/PES
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    978-1-4244-3810-5
  • Electronic_ISBN
    978-1-4244-3811-2
  • Type

    conf

  • DOI
    10.1109/PSCE.2009.4839983
  • Filename
    4839983