• DocumentCode
    3432159
  • Title

    Power optimization strategy for cascaded DC-DC converter architectures of photovoltaic modules

  • Author

    Bratcu, Antoneta Iuliana ; Munteanu, Iulian ; Bacha, Seddik ; Picault, Damien ; Raison, Bertrand

  • Author_Institution
    Grenoble Electr. Eng. Lab., ENSE3, UJF, St. Martin d´´Heres
  • fYear
    2009
  • fDate
    10-13 Feb. 2009
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This paper proposes a control strategy aiming at operating cascaded DC-DC converter architectures of photovoltaic (PV) modules at maximum power irrespective of the irradiance conditions, meanwhile meeting constraints of voltage-limitation type. The global optimum of cascaded connections of PV modules is generally equivalent with operating all the modules at maximum power point tracking (MPPT). The most important disturbance occurs when the irradiance levels of modules are sensibly different because of various reasons - in this case, voltage-limitation requirements may be broken. The proposed supervising strategy then attempts to establish the best suboptimal power regime. MATLABreg/Simulinkreg numerical simulation results are presented in the case of a monophased grid-connected PV system, where individual MPPTs have been implemented by extremum seeking control (ESC).
  • Keywords
    DC-DC power convertors; numerical analysis; photovoltaic power systems; power generation control; power grids; cascaded DC-DC converter architectures; extremum seeking control; maximum power point tracking; monophased grid-connected PV system; numerical simulation; photovoltaic modules; power optimization strategy; Choppers; Constraint optimization; DC-DC power converters; Inverters; Photovoltaic systems; Power system reliability; Renewable energy resources; Robust control; Solar power generation; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Technology, 2009. ICIT 2009. IEEE International Conference on
  • Conference_Location
    Gippsland, VIC
  • Print_ISBN
    978-1-4244-3506-7
  • Electronic_ISBN
    978-1-4244-3507-4
  • Type

    conf

  • DOI
    10.1109/ICIT.2009.4939559
  • Filename
    4939559