• DocumentCode
    149252
  • Title

    The new electricity system cascade analysis method for optimal sizing of an autonomous hybrid PV/wind energy system with battery storage

  • Author

    Zahboune, H. ; Kadda, F.Z. ; Zouggar, S. ; Ziani, E. ; Klemes, J.J. ; Varbanov, P.S. ; Zarhloule, Y.

  • Author_Institution
    Lab. of Electr. Eng. & Maintenance (LEEM), Univ. Mohammed 1er, Oujda, Morocco
  • fYear
    2014
  • fDate
    25-27 March 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Hybrid power generation systems are becoming very popular due to the advance in renewable energy technologies. Solar and wind are the most widely used renewable energy sources for generating the electrical power. Their availability usually is shifted in time. Therefore; it may be advantageous to consider both sources as simultaneous option when designing an electricity supply system in an arid sites. In this work a system with hybrid power supply, harvesting PV and wind power in combination, integrated with battery storage, is studied, with the objective of satisfying the electricity demand while optimizing the cost. The algorithm efficiency and the results of the presented new Electricity System Cascade Analysis (ESCA) were demonstrated by a case of study of a house and three water pumps. The daily energy consumption of the system is 44.235 kWh. The size of the installed PVP, wind turbine capacity and the inverter has been minimized using the modified procedure.
  • Keywords
    battery storage plants; electric power generation; hybrid power systems; photovoltaic power systems; renewable energy sources; wind power plants; ESCA; battery storage; electrical power; electricity demand; electricity supply system; electricity system cascade analysis method; harvesting PV; hybrid PV-wind energy system; hybrid power generation systems; renewable energy sources; wind power; Batteries; Electricity; Inverters; Wind energy; Wind energy generation; Wind speed; Wind turbines; ESCA; Hybrid system; PV energy; Renewable Energy; pinch analysis; wind energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Renewable Energy Congress (IREC), 2014 5th International
  • Conference_Location
    Hammamet
  • Print_ISBN
    978-1-4799-2196-6
  • Type

    conf

  • DOI
    10.1109/IREC.2014.6826962
  • Filename
    6826962