• DocumentCode
    1784587
  • Title

    Energy cost estimation of small wind power systems - An integrated approach

  • Author

    Shuang Xu ; Church, Craig ; Riming Shao ; Liuchen Chang

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of New Brunswick, Fredericton, NB, Canada
  • fYear
    2014
  • fDate
    24-27 June 2014
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    This paper presents a new method for estimation of energy cost for grid-connected small wind power systems (SWPSs), which integrates the wind resources, turbine power curves, system component losses and costs, and reliability into a comprehensive model. For each of these aspects, models were established. Various structural options of small wind power system components at both fixed speed and variable speed operation were considered. Through Monte-Carlo based simulations, a statistical estimation of energy costs of a typical 30kW small wind power system was obtained for the life cycle operation. The simulation results can give consumers an overview of how much they need to invest for a small wind power system during its installed lifetime. Furthermore, the results of different structural options can serve as a lookup table to provide the cost effectiveness of different structural types of small wind power systems, and also provide a benchmark for future research works on energy cost evaluation.
  • Keywords
    Monte Carlo methods; costing; estimation theory; power generation economics; power generation reliability; power grids; power markets; statistical analysis; table lookup; wind power plants; wind turbines; Monte-Carlo based simulation; SWPS; energy cost estimation; grid-connected small wind power system; life cycle operation; lookup table; power 30 kW; reliability; statistical estimation; system component loss; wind resource; wind turbine power curve; Insulated gate bipolar transistors; Maintenance engineering; Power system reliability; Production; Reliability; Stators; Monte-Carlo simulation; energy cost estimation; reliability; small wind power systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics for Distributed Generation Systems (PEDG), 2014 IEEE 5th International Symposium on
  • Conference_Location
    Galway
  • Type

    conf

  • DOI
    10.1109/PEDG.2014.6878664
  • Filename
    6878664