• DocumentCode
    2235509
  • Title

    Siting and sizing of Photovoltaic Systems subject to several parameters

  • Author

    Bouhouras, A.S. ; Sgouras, K.I. ; Milioudis, A.N. ; Katsanou, V.N. ; Labridis, D.P.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Aristotle Univ. of Thessaloniki, Thessaloniki, Greece
  • fYear
    2012
  • fDate
    19-21 March 2012
  • Firstpage
    711
  • Lastpage
    718
  • Abstract
    In this paper a methodology regarding the siting and sizing of Photovoltaic Systems (PVS) under the consideration of several parameters is presented. In the proposed algorithm equal distribution of the available PVS is initially considered and at the next level appropriate coefficients are formalized in order to quantify each respective parameter. The initial equal distributed capacity of PVS is being resized due to the impact of various critical parameters. Moreover, the participation of each parameter to the resizing procedure is being defined by respective weight factors. In the paper, the Interconnected Greek Transmission System (IGTS) is examined as the test case and useful conclusions are depicted regarding the algorithm´s results. The proposed algorithm could constitute a useful guideline for efficient allocation of PVS in regard to specific predefined requirements and in turn it could define the most appropriate solution among a number of alternatives.
  • Keywords
    distributed power generation; photovoltaic power systems; solar cells; IGTS; Interconnected Greek Transmission System; PVS allocation; PVS distributed capacity; next level appropriate coefficients; photovoltaic systems; Indexes; Silicon; Photovoltaic systems; distribution generation; renewable energy sources; resizing algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Technology (ICIT), 2012 IEEE International Conference on
  • Conference_Location
    Athens
  • Print_ISBN
    978-1-4673-0340-8
  • Type

    conf

  • DOI
    10.1109/ICIT.2012.6210022
  • Filename
    6210022