• DocumentCode
    585463
  • Title

    Design and optimal sizing of hybrid PV/wind/diesel system with battery storage by using DIRECT search algorithm

  • Author

    Lu Zhang ; Barakat, G. ; Yassine, Abdulsalam

  • Author_Institution
    Dept. of Electr. Energy Eng. Syst., Le Havre Electr. & Autom. Res. Group (GREAH), Univ. of Le Havre, Le Havre, France
  • fYear
    2012
  • fDate
    4-6 Sept. 2012
  • Abstract
    This paper focuses on the development of a methodology for sizing and optimization of four hybrid systems (PV/wind/diesel/battery, PV/wind/diesel, PV/diesel/battery and wind/diesel/battery). This approach makes use of the Dividing RECTangles (DIRECT) algorithm to suggest, among a list of commercially available system devices, the optimal numbers and types of system components ensuring that the total cost objective function is minimized. These four hybrid systems are assumed to be installed at the city of Le Havre (France), with the collection of hourly environment data (solar radiation, wind speed and ambient temperature) for a period of 5-year. Finally, an impact of optimum system configuration on system performance are compared and discussed in the case studied.
  • Keywords
    battery storage plants; diesel-electric power stations; hybrid power systems; optimisation; photovoltaic power systems; power generation economics; wind power plants; DIRECT search algorithm; France; Le Havre city; ambient temperature; battery storage; cost objective function minimization; dividing rectangles search algorithm; hourly environment data; hybrid PV-wind-diesel-battery system; optimization; optimum system configuration; sizing methodology; solar radiation; time 5 year; wind speed; Batteries; Generators; Hybrid power systems; Mathematical model; Optimization; Wind speed; Wind turbines; DIRECT algorithm; Hybrid systems; Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics and Motion Control Conference (EPE/PEMC), 2012 15th International
  • Conference_Location
    Novi Sad
  • Print_ISBN
    978-1-4673-1970-6
  • Electronic_ISBN
    978-1-4673-1971-3
  • Type

    conf

  • DOI
    10.1109/EPEPEMC.2012.6397335
  • Filename
    6397335