Spatial load forecasting using a demand propagation approach
Contribuinte(s) |
Universidade Estadual Paulista (UNESP) |
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Data(s) |
27/05/2014
27/05/2014
31/05/2011
|
Resumo |
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. |
Formato |
196-203 |
Identificador |
http://dx.doi.org/10.1109/TDC-LA.2010.5762882 2010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA 2010, p. 196-203. http://hdl.handle.net/11449/72448 10.1109/TDC-LA.2010.5762882 2-s2.0-79957564714 |
Idioma(s) |
eng |
Relação |
2010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA 2010 |
Direitos |
closedAccess |
Palavras-Chave | #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 |
Tipo |
info:eu-repo/semantics/conferencePaper |