Publication: Spatial load forecasting using a demand propagation approach
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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.
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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
Language
English
Citation
2010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA 2010, p. 196-203.
