• DocumentCode
    1183566
  • Title

    Optimum photovoltaic array size for a hybrid wind/PV system

  • Author

    Borowy, Bogdan S. ; Salameh, Ziyad M.

  • Author_Institution
    Dept. of Electr. Eng., Massachusetts Univ., Lowell, MA, USA
  • Volume
    9
  • Issue
    3
  • fYear
    1994
  • fDate
    9/1/1994 12:00:00 AM
  • Firstpage
    482
  • Lastpage
    488
  • Abstract
    A methodology for calculation of the optimum size of a PV array for a stand-alone hybrid wind/PV power system is developed. Long term data of wind speed and irradiance recorded for every hour of the day for 30 years were used. These data were used to calculate the probability density functions of the wind speed and the irradiance for each hour of a typical day in a month. The wind speed and irradiance probability density functions and manufacturer´s specification on a wind turbine and a PV module were used to calculate the average power generated by the wind turbine and the PV module for each hour of a typical day in a month. The least square method is used to determine the best fit of the PV array and wind turbine to a given load. On the basis of the energy concept an algorithm was developed to find the optimum size of the PV array in the system
  • Keywords
    atmospheric radiation; least squares approximations; optimisation; photovoltaic effects; photovoltaic power systems; probability; solar cell arrays; solar cells; sunlight; wind; wind power plants; wind turbines; PV array; algorithm; hybrid wind/PV power system; irradiance; least square method; load; optimum size; probability density functions; solar cells; wind speed; wind turbine; Hybrid power systems; Least squares methods; Manufacturing; Photovoltaic systems; Power generation; Probability density function; Solar power generation; Wind energy generation; Wind speed; Wind turbines;
  • fLanguage
    English
  • Journal_Title
    Energy Conversion, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8969
  • Type

    jour

  • DOI
    10.1109/60.326466
  • Filename
    326466