• DocumentCode
    2931996
  • Title

    Optimal sizing of hybrid power generation systems based on multi criteria decision analysis

  • Author

    Alsayed, Mohammed ; Cacciato, Mario ; Scelba, Giacomo ; Consoli, Alfio

  • Author_Institution
    Univ. of Catania, Catania, Italy
  • fYear
    2012
  • fDate
    20-22 June 2012
  • Firstpage
    1442
  • Lastpage
    1447
  • Abstract
    Renewable energy power generation systems are promising energy sources where hybrid solutions such as Photo Voltaic-Wind Turbine (PV/WT) grid connected power systems are largely adopted for their good potentials. Design of such systems requires that particular attention must be paid to an optimal combination between the two different power sources because of the complex nature of several affecting variables. This paper presents an optimal sizing procedure exploiting a Multi Criteria Decision Analysis (MCDA). The proposed approach is described in details and applied to a real scenario.
  • Keywords
    hybrid power systems; photovoltaic power systems; power grids; renewable energy sources; wind turbines; MCDA; PV-WT grid connected power system; energy source; hybrid power generation system; multcriteria decision analysis; optimal sizing procedure; photovoltaic-wind turbine grid connected power system; power source; renewable energy power generation system; Biological system modeling; Economics; Hybrid power systems; Optimization; Wind speed; Wind turbines; Photo Voltaic systems; Renewable Energy; TOPSIS; Wind Turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), 2012 International Symposium on
  • Conference_Location
    Sorrento
  • Print_ISBN
    978-1-4673-1299-8
  • Type

    conf

  • DOI
    10.1109/SPEEDAM.2012.6264598
  • Filename
    6264598