• DocumentCode
    2017591
  • Title

    Electricity demand characterization for analyzing residential LV distribution networks

  • Author

    Kadurek, Petr ; Kling, W.L. ; Ribeiro, P.F. ; Cobben, J.F.G.

  • Author_Institution
    Electr. Energy Syst., Eindhoven Univ. of Technol., Eindhoven, Netherlands
  • fYear
    2013
  • fDate
    16-20 June 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A proper estimation of the residential load profiles in the LV network is an important aspect for distribution system design, planning and operation. However, the currently used approaches to characterize the LV residential load profiles are not comprehensive enough for a thorough evaluation of the operational conditions in the LV network, as highlighted in [1]. Therefore, in this paper, an approach for LV residential customers´ load profiles characterization is proposed together with a methodology for applying it to generate more realistic synthetic load data. Based on comprehensive measurements conducted in a typical LV network, real load profiles from residential customers were obtained. These load profiles have been analyzed and characterized to enable estimation of synthetic load data, which can be used for more accurate network simulations. The proposed characterization method of LV load profiles can be generally applied to improve the current network analysis and can be also updated to apply for the future LV loading patterns with new measured data.
  • Keywords
    distribution networks; LV residential customer load profile characterization; distribution system design; distribution system operation; distribution system planning; electricity demand characterization; network simulations; realistic synthetic load data; residential LV distribution network analysis; Electricity; Europe; Load modeling; Loading; Planning; Probability density function; Smart grids; Load modeling; Power demand; Power distribution; Power system planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PowerTech (POWERTECH), 2013 IEEE Grenoble
  • Conference_Location
    Grenoble
  • Type

    conf

  • DOI
    10.1109/PTC.2013.6652168
  • Filename
    6652168