• DocumentCode
    3076286
  • Title

    Spatial load forecasting using a demand propagation approach

  • Author

    Melo, J.D. ; Carreno, E.M. ; Padilha-Feltrin, A.

  • Author_Institution
    Univ. Estadual Paulista (UNESP), Ilha Solteira, Brazil
  • fYear
    2010
  • fDate
    8-10 Nov. 2010
  • Firstpage
    196
  • Lastpage
    203
  • Abstract
    A method for spatial electric load forecasting using multi-agent systems, especially suited to simulate the local effect of special loads in distribution systems is presented. The method based on multi-agent systems uses two kinds of agents: reactive and proactive. The reactive agents represent each sub-zone in the service zone, characterizing each one with their corresponding load level, represented in a real number, and their relationships with other sub-zones represented in development probabilities. The proactive agent carry the new load expected to be allocated because of the new special load, this agent distribute the new load in a propagation pattern. The results are presented with maps of future expected load levels in the service zone. The method is tested with data from a mid-size city real distribution system, simulating the effect of a load with attraction and repulsion attributes. The method presents good results and performance.
  • Keywords
    load forecasting; multi-agent systems; power distribution planning; power engineering computing; demand propagation approach; midsize city real distribution system; multiagent systems; reactive agents; service zone; spatial electric load forecasting; Cities and towns; Data mining; Load forecasting; Load modeling; Multiagent systems; Spatial databases; Spatial electric load forecasting; agent; distribution planning; knowledge extraction; land use; multi-agent systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transmission and Distribution Conference and Exposition: Latin America (T&D-LA), 2010 IEEE/PES
  • Conference_Location
    Sao Paulo
  • Print_ISBN
    978-1-4577-0488-8
  • Type

    conf

  • DOI
    10.1109/TDC-LA.2010.5762882
  • Filename
    5762882