• DocumentCode
    162914
  • Title

    Optimal distributed generation allocation on distribution networks at peak load and the analysis of the impact of volt/var control on the improvement of the voltage profile

  • Author

    Insu Kim ; Harley, Ronald G. ; Regassa, Raeey

  • Author_Institution
    Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    2014
  • fDate
    7-9 Sept. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    One of the main concerns of utilities is overvoltage along their feeders when they enhance their networks by various distributed generation (DG) systems. The objective of this study is (1) to near-optimally allocate locations and capacities of DG systems on distribution networks at peak load and (2) to analyze the impact of DG inverters with the capability of volt/var control on the improvement of the voltage profile along the feeder during steady state. This study proposes a genetic algorithm with an objective function that minimizes voltage variations caused by the installation of DG systems, near-optimally allocates the locations and the capacities of DG systems either with or without the capability of volt/var control on a distribution network at peak load, and analyzes their impact on the improvement of the voltage profile along the feeder.
  • Keywords
    distributed power generation; distribution networks; genetic algorithms; invertors; overvoltage; voltage control; DG inverters; distributed generation allocation; distributed generation systems; distribution networks; genetic algorithm; overvoltage; peak load; volt/var control; voltage profile; Distributed power generation; Genetic algorithms; Impedance; Inverters; Reactive power; Sensitivity; Voltage control; Distributed generation (DG); P-Q bus; P-V bus; genetic algorithm; sensitivity impedance; volt/var control; voltage regulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    North American Power Symposium (NAPS), 2014
  • Conference_Location
    Pullman, WA
  • Type

    conf

  • DOI
    10.1109/NAPS.2014.6965451
  • Filename
    6965451