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
- Universidade Estadual Paulista (UNESP)
- Universidade Estadual do Oeste do Paraná (UNIOESTE)
- 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.
- 31-May-2011
- 2010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA 2010, p. 196-203.
- 196-203
- 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
- http://dx.doi.org/10.1109/TDC-LA.2010.5762882
- Acesso restrito
- outro
- http://repositorio.unesp.br/handle/11449/72448
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