• DocumentCode
    3537166
  • Title

    Consumer loading characterization based on measurement campaigns - A prospective approach

  • Author

    Jardini, J.A. ; Brittes, J.L.P. ; da Silveira, P.O.

  • Author_Institution
    Electr. Power & Autom. Eng. Dept., Univ. of Sao Paulo, Sao Paulo, Brazil
  • fYear
    2012
  • fDate
    3-5 Sept. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents a prospective approach on how load curves can be typified using the NCEA (National Classification of the Economic Activities) instrument and also based on energy measurement campaigns commonly carried out. The proposed method intends to obtain load curves sufficiently robust, despite the available measurements may not have statistical significance. The proposed hypotesis tries to identify more representative consumer groups within a certain activity regarding parameters like the consumer class, consumption pattern, average energy, load factor and other available parameters. The results presented, pertaining here to the measurement of Group B (which according to the 1160 NCEA activity involves container manufacture, metal works, etc) indicate that these curves have the potential to replace the curves currently used in engineering (based on GIS) with data obtained through the measurement campaigns for tariff revision.
  • Keywords
    demand side management; energy consumption; energy measurement; 1160 NCEA activity; GIS; average energy; consumer class; consumer loading characterization; consumption pattern; demand side management; energy measurement campaign; load factor; statistical significance; tariff revision; Automation; Economics; Educational institutions; Measurement uncertainty; Power systems; Transmission line measurements; Voltage measurement; Demand Side Management; Load Curves; Management and Characterization of the Consumption;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transmission and Distribution: Latin America Conference and Exposition (T&D-LA), 2012 Sixth IEEE/PES
  • Conference_Location
    Montevideo
  • Print_ISBN
    978-1-4673-2672-8
  • Type

    conf

  • DOI
    10.1109/TDC-LA.2012.6319099
  • Filename
    6319099