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Campo Grande, Brazil

Cordeiro R.,BATLAB DEL UFMS | Pinto J.O.P.,BATLAB DEL UFMS | Godoy R.B.,BATLAB DEL UFMS | Suemitsu W.I.,DEE COPPE UFRJ | And 2 more authors.
Journal of Control, Automation and Electrical Systems | Year: 2013

Demand management of Plug-in Hybrid Electrical Vehicles (PHEV) is an important requirement for the reduction of greenhouse gases and better use of the energy sources. Smart grids can control the power demand of PHEV, based on the knowledge of the demand curves. However, this information is not always known by PHEV owners or charging stations due to loss of data or due to the charging is done in cities with conventional power grids. These problems can increase the peak demand and makes dynamic pricing more difficult to implement. This paper proposes the use of fuzzy demands estimations to reduce the impact of these problems. This estimator is the basis of assistant software applications for PHEVusers and charging stations to get more information for a best load management for PHEV. Results demonstrate the advantage of this proposal in the demand management for PHEV. © Brazilian Society for Automatics-SBA 2013. Source

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