• DocumentCode
    3227328
  • Title

    Physically-based aggregation of object-oriented load models in power systems restoration

  • Author

    Mota, Lia Toledo Moreira ; Mota, Alexandre Assis ; Morelato, Andre

  • Author_Institution
    DSEE, Univ. Estadual de Campinas, Sao Paulo, Brazil
  • fYear
    2004
  • fDate
    8-11 Nov. 2004
  • Firstpage
    155
  • Lastpage
    160
  • Abstract
    The restoration process after a partial or total blackout is a very peculiar situation in terms of load modeling, since the nodal load can assume a different behavior from the expected load under normal operation conditions. Thus, particularly in this case, it is important to develop accurate load models to avoid mistakes during the reenergization process. This work proposes the usage of object-oriented and hybrid load models to represent the aggregated load of a distribution feeder or substation. Besides, a physically-based load aggregation methodology is formulated, taking into account the physical characteristics of the individual equipments, both electrical and environmental, and power line losses evaluation through the application of one single iteration of the back-forward sweep distribution load flow method. A study case and results comparing the conventional and the proposed approach are presented.
  • Keywords
    iterative methods; load flow; object-oriented methods; power distribution faults; power system analysis computing; power system restoration; substations; back-forward sweep; distribution feeder; distribution load flow method; iteration; load aggregation methodology; object-oriented load models; power line losses; power systems restoration; reenergization process; substation; Computational modeling; Load modeling; Object oriented modeling; Power system analysis computing; Power system modeling; Power system reliability; Power system restoration; Power system simulation; Substations; Temperature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transmission and Distribution Conference and Exposition: Latin America, 2004 IEEE/PES
  • Print_ISBN
    0-7803-8775-9
  • Type

    conf

  • DOI
    10.1109/TDC.2004.1432369
  • Filename
    1432369