• DocumentCode
    2062171
  • Title

    Considering Urban Dynamics in spatial electric load forecasting

  • Author

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

  • Author_Institution
    Dept. de Engenheria Eletr., Univ. Estadual Paulista (UNESP), Ilha Solteira, Brazil
  • fYear
    2012
  • fDate
    22-26 July 2012
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    When dealing with spatio-temporal simulations of load growth inside a service zone, one of the most important problems faced by a Distribution Utility is how to represent the different relationships among different areas. A new load in a certain part of the city could modify the load growth in other parts of the city, even outside of its radius of influence. These interactions are called Urban Dynamics. This work aims to discuss how to implement Urban Dynamics considerations into the spatial electric load forecasting simulations using multi-agent simulations. To explain the approach, three examples are introduced, including the effect of an attraction load, the effect of a repulsive load, and the effect of several attraction/repulsive loads at the same time when considering the natural load growth.
  • Keywords
    land use planning; load forecasting; multi-agent systems; power distribution planning; power engineering computing; distribution utility; influence radius; multiagent simulations; natural load growth; repulsive load; service zone; spatial electric load forecasting simulations; spatio-temporal simulations; urban dynamics; Cities and towns; Load forecasting; Load modeling; Mobile agents; Multiagent systems; Predictive models; Probability; agent; distribution planning; land use; load growth; multi-agent; spatial electric load forecasting; urban dynamic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2012 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4673-2727-5
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESGM.2012.6345436
  • Filename
    6345436