Spatial electric load forecasting using a local movement approach


Autoria(s): Carreno, E. M.; Padilha-Feltrin, A.
Contribuinte(s)

Universidade Estadual Paulista (UNESP)

Data(s)

27/05/2014

27/05/2014

09/12/2009

Resumo

An agent based model for spatial electric load forecasting using a local movement approach for the spatiotemporal allocation of the new loads in the service zone is presented. The density of electrical load for each of the major consumer classes in each sub-zone is used as the current state of the agents. The spatial growth is simulated with a walking agent who starts his path in one of the activity centers of the city and goes to the limits of the city following a radial path depending on the different load levels. A series of update rules are established to simulate the S growth behavior and the complementarity between classes. The results are presented in future load density maps. The tests in a real system from a mid-size city show a high rate of success when compared with other techniques. The most important features of this methodology are the need for few data and the simplicity of the algorithm, allowing for future scalability. © 2009 IEEE.

Identificador

http://dx.doi.org/10.1109/ISAP.2009.5352827

2009 15th International Conference on Intelligent System Applications to Power Systems, ISAP '09.

http://hdl.handle.net/11449/71475

10.1109/ISAP.2009.5352827

2-s2.0-76549123432

Idioma(s)

eng

Relação

2009 15th International Conference on Intelligent System Applications to Power Systems, ISAP '09

Direitos

closedAccess

Palavras-Chave #Agent based models #Distribution planning #Knowledge extraction #Land use #Spatial electric load forecasting #Activity centers #Agent-based model #Consumer class #Electrical load #Growth behavior #High rate #Load density #Load levels #Spatial growth #Electric load distribution #Electric loads #Intelligent systems #Multi agent systems #Electric load forecasting
Tipo

info:eu-repo/semantics/conferencePaper