• DocumentCode
    3602271
  • Title

    Incorporating PV Inverter Control Schemes for Planning Active Distribution Networks

  • Author

    AlKaabi, Sultan S. ; Khadkikar, Vinod ; Zeineldin, H.H.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Inst. Centre for Energy (i-Energy), Abu Dhabi, United Arab Emirates
  • Volume
    6
  • Issue
    4
  • fYear
    2015
  • Firstpage
    1224
  • Lastpage
    1233
  • Abstract
    The distribution network planning under active network management (ANM) schemes is becoming of interest due to substantial benefits in facilitating the increasing integration of renewable energy sources. This paper presents various potential ANM schemes based on the photovoltaic inverter control (PVIC) considering enhanced utilization of the inverter reactive power capability. Depending on the active power generation of PV arrays, inverter size and desired reactive power settings, several PVIC schemes are proposed. The PVIC schemes are incorporated in the optimal power flow (OPF) and formulated as a nonlinear programming (NLP) problem. In this study, the PVIC schemes are applied to maximize the total wind-distributed generation (DG) penetration on a typical U.K. distribution system. Various case studies are presented and compared to evaluate the performance. The results show that the proposed schemes can significantly increase the wind penetration levels by 45.4% and up to 92.3%.
  • Keywords
    invertors; load flow control; nonlinear programming; optimal control; photovoltaic power systems; power distribution control; power distribution planning; power factor correction; reactive power control; wind power plants; active distribution network planning; active network management; active power generation; inverter reactive power capability; nonlinear programming problem; optimal power flow; photovoltaic inverter control; wind-distributed generation penetration; Distributed power generation; Load flow; Power system planning; Reactive power; Active network management (ANM); distributed generation (DG); optimal power flow (OPF); power distribution planning;
  • fLanguage
    English
  • Journal_Title
    Sustainable Energy, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3029
  • Type

    jour

  • DOI
    10.1109/TSTE.2015.2422305
  • Filename
    7108067