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
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;
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
DOI :
10.1109/TDC-LA.2010.5762882