• DocumentCode
    647868
  • Title

    Optimal location and size of DG for enhancing loading margin and reducing system loss

  • Author

    Thakur, Devbratta ; Jin Jiang

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Western Ontario, London, ON, Canada
  • fYear
    2013
  • fDate
    21-25 July 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper proposes a methodology for optimal placement of DG (dispatchable and non-dispatchable) in a grid to enhance the loading margin and reduce system losses. Since weather conditions have an impact on the loading margin and system loss, the optimal location for non-dispatchable sources, such as wind, or PV, can be placed at the closest dominant bus. The modal participation factor analysis in a reduced Jacobian matrix form is proposed to identify the dominant bus. The sensitivity analysis of non-dispatchable DG, such as a direct drive PMSG based wind turbine at the dominant buses with respect to wind speed is performed to identify the most suitable location. The proposed methodology has been tested in the IEEE 14 bus test system.
  • Keywords
    Jacobian matrices; distributed power generation; motor drives; permanent magnet generators; synchronous generators; wind turbines; IEEE 14 bus test system; Jacobian matrix; direct drive PMSG; loading margin; modal participation factor analysis; nondispatchable sources; optimal location; optimal placement; permanent magnet synchronous generator; reducing system loss; wind turbine; Jacobian matrices; Loading; Power system stability; Reactive power; Sensitivity analysis; Wind speed; Wind turbines; Distributed generation; Jacobian matrix; Modal participation factor analysis; Optimum location; Permanent magnet synchronous generator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting (PES), 2013 IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESMG.2013.6672416
  • Filename
    6672416