• DocumentCode
    1305321
  • Title

    Generation unit sizing and cost analysis for stand-alone wind, photovoltaic, and hybrid wind/PV systems

  • Author

    Kellogg, W.D. ; Nehrir, M.H. ; Venkataramanan, G. ; Gerez, V.

  • Author_Institution
    Dept. of Electr. Eng., Montana State Univ., Bozeman, MT, USA
  • Volume
    13
  • Issue
    1
  • fYear
    1998
  • fDate
    3/1/1998 12:00:00 AM
  • Firstpage
    70
  • Lastpage
    75
  • Abstract
    This paper presents the results of investigations on the application of wind, photovoltaic (PV), and hybrid wind/PV power generating systems for utilization as stand-alone systems. A simple numerical algorithm has been developed for generation unit sizing. It has been used to determine the optimum generation capacity and storage needed for a stand-alone, wind, PV, and hybrid wind/PV system for an experimental site in a remote area in Montana with a typical residential load. Generation and storage units for each system are properly sized in order to meet the annual load and minimize the total annual cost to the customer. In addition, an economic analysis has been performed for the above three scenarios and is used to justify the use of renewable energy versus constructing a line extension from the nearest existing power line to supply the load with conventional power. Annual average hourly values for load, wind speed, and insolation have been used
  • Keywords
    economics; energy storage; photovoltaic power systems; wind turbines; Montana; annual average hourly values; annual load; cost analysis; economic analysis; generation unit sizing; insolation; load; numerical algorithm; optimum generation capacity; optimum generation storage; power line extension; remote area; renewable energy; residential load; stand-alone hybrid wind/PV systems; stand-alone photovoltaic systems; stand-alone wind systems; total annual cost minimisation; wind speed; Costs; Hybrid power systems; Performance analysis; Photovoltaic systems; Power generation; Power generation economics; Power system economics; Solar power generation; Wind energy generation; Wind power generation;
  • fLanguage
    English
  • Journal_Title
    Energy Conversion, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8969
  • Type

    jour

  • DOI
    10.1109/60.658206
  • Filename
    658206