• DocumentCode
    1875377
  • Title

    Research on optimization of electrical connecting network for a solar photovoltaic power Plant

  • Author

    Wei Shurong ; Fu Yang ; Huang Lingling

  • Author_Institution
    Shanghai Univ. of Electr. Power, Shanghai, China
  • fYear
    2012
  • fDate
    8-9 Sept. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Through the establishment the collection network optimization models of the photovoltaic power plant, each group of solar battery, inverter and step-up transformer can be composed a connection unit, a photovoltaic power station electrical investment cost optimization can be induced to two kinds of problems, one is a group of discrete variables optimum solution and the other is the connection topology optimization of the photovoltaic inverter unit. Using clustering algorithm, sectoral segmentation algorithm and the Prime algorithm to solve the optimization model and obtained the optimal topology structure of the discrete points, which has high practicability in engineering.
  • Keywords
    invertors; optimisation; photovoltaic power systems; solar power stations; transformers; clustering algorithm; discrete points; discrete variables optimum solution; electrical connecting network; optimal topology structure; optimization; photovoltaic inverter unit; photovoltaic power station electrical investment cost optimization; sectoral segmentation algorithm; solar battery; solar photovoltaic power plant; step-up transformer; Photovoltaic inverter unit; collection network; discrete variables; topology optimization;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Sustainable Power Generation and Supply (SUPERGEN 2012), International Conference on
  • Conference_Location
    Hangzhou
  • Electronic_ISBN
    978-1-84919-673-4
  • Type

    conf

  • DOI
    10.1049/cp.2012.1786
  • Filename
    6493105