• DocumentCode
    1589116
  • Title

    A knowledge based expert system for the pre-feasibility analysis of an energy storage system in a wind-diesel isolated power grid

  • Author

    Ross, Michael ; Hidalgo, Rodrigo ; Joos, Geza

  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    A knowledge based expert system has been designed in order to imitate the decision-making process used by human experts. This expert system has been developed to carry out a pre-feasibility analysis of an energy storage system in an isolated power system, with both wind and diesel generation. Energy storage can be used to optimize the energy from renewable sources and reduce fuel consumption, offering economic and environmental advantages. The expert system performs a preliminary technical and economical analysis of the system when it determines that there is excess energy that can be stored. The analysis performed helps the user as initial step towards further analysis and design. Results show how the implementation of an ESS would reduce the fuel consumption when compared to the analysis of the system without energy storage, which could financially validate its initial investment.
  • Keywords
    decision making; diesel-electric power stations; energy storage; expert systems; power engineering computing; power generation economics; power grids; wind power plants; decision-making process; economical analysis; energy storage system; fuel consumption; knowledge based expert system; renewable sources; wind-diesel isolated power grid; Decision making; Energy storage; Environmental economics; Expert systems; Fuel economy; Performance analysis; Power generation economics; Power grids; Power system economics; Wind energy generation; Energy storage; Expert systems; Knowledge based systems; Wind energy;
  • 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.2009.5275712
  • Filename
    5275712