• DocumentCode
    1240806
  • Title

    Incorporating well-being considerations in generating systems using energy storage

  • Author

    Bagen ; Billinton, Roy

  • Author_Institution
    Power Syst. Res. Group, Univ. of Saskatchewan, Saskatoon, Sask., Canada
  • Volume
    20
  • Issue
    1
  • fYear
    2005
  • fDate
    3/1/2005 12:00:00 AM
  • Firstpage
    225
  • Lastpage
    230
  • Abstract
    The increasing utilization of wind and solar energy for power supply in remote locations involves serious consideration of the reliability of these unconventional energy sources. Most utilities use deterministic criteria in the planning and design of these systems. The main disadvantage of deterministic criteria is that they do not recognize and reflect the inherent random nature of the site resources, the system behavior, and the customer demands etc. Probabilistic techniques can be used to overcome this drawback and incorporate the inherent uncertainty in these factors. Power system planners and designers sometimes experience difficulties in interpreting and using probabilistic reliability indices. This difficulty can be alleviated by incorporating deterministic considerations into a probabilistic evaluation using the well-being concept. A simulation technique is presented in this paper which extends the conventional well-being approach to generating systems using energy storage. The proposed technique is illustrated and applied in this paper to several small stand-alone power systems. The effects on the system well-being of some of the major system parameters and the deterministic criteria are illustrated.
  • Keywords
    battery storage plants; power generation planning; power generation reliability; power utilisation; probability; solar power stations; wind power plants; battery storage; energy storage; photovoltaics; power supply; power system planning; probabilistic technique; solar energy; stand-alone power system; wind energy; wind turbine generator; Energy storage; Power supplies; Power system planning; Power system reliability; Power system simulation; Solar energy; Solar power generation; Uncertainty; Wind energy; Wind energy generation;
  • fLanguage
    English
  • Journal_Title
    Energy Conversion, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8969
  • Type

    jour

  • DOI
    10.1109/TEC.2004.842376
  • Filename
    1396104