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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/72448
Title: 
Spatial load forecasting using a demand propagation approach
Author(s): 
Institution: 
  • Universidade Estadual Paulista (UNESP)
  • Universidade Estadual do Oeste do Paraná (UNIOESTE)
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. © 2011 IEEE.
Issue Date: 
31-May-2011
Citation: 
2010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA 2010, p. 196-203.
Time Duration: 
196-203
Keywords: 
  • agent
  • distribution planning
  • knowledge extraction
  • land use
  • multi-agent systems
  • Spatial electric load forecasting
  • Demand propagation
  • Distribution systems
  • Expected loads
  • Knowledge extraction
  • Load levels
  • Local effects
  • Propagation pattern
  • Reactive agent
  • Real distribution
  • Real number
  • Spatial load forecasting
  • Electric load distribution
  • Electric loads
  • Forecasting
  • Intelligent agents
  • Local area networks
  • Multi agent systems
  • Electric load forecasting
Source: 
http://dx.doi.org/10.1109/TDC-LA.2010.5762882
URI: 
Access Rights: 
Acesso restrito
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/72448
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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