In this paper, an electric vehicle smart charging approach is proposed to minimize the renewable power curtailment in a self-consumption facility consisting in a sustainable prosumer building equipped with a solar photovoltaic field and a micro wind turbine generator. This facility is not allowed to inject surplus energy into the public distribution power grid in order to minimize network congestions. As stationary energy storage devices are not competitive at nanogrid level nowadays, the smart charging of electric vehicles seems to be a feasible and cost-effective solution. The paper describes the Mixed-Integer Linear Programming model which has been specifically developed to operate the nanogrid optimally allowing a 76% reduction of the curtailed energy in comparison with the same system without the smart charging station, and a 67% daily savings in comparison with a traditional consumer of the same size and characteristics.

Smart Charging of Electric Vehicles to Minimize Renewable Power Curtailment in Polygeneration Prosumer Buildings

Bracco S.;Delfino F.;Piazza G.
2020

Abstract

In this paper, an electric vehicle smart charging approach is proposed to minimize the renewable power curtailment in a self-consumption facility consisting in a sustainable prosumer building equipped with a solar photovoltaic field and a micro wind turbine generator. This facility is not allowed to inject surplus energy into the public distribution power grid in order to minimize network congestions. As stationary energy storage devices are not competitive at nanogrid level nowadays, the smart charging of electric vehicles seems to be a feasible and cost-effective solution. The paper describes the Mixed-Integer Linear Programming model which has been specifically developed to operate the nanogrid optimally allowing a 76% reduction of the curtailed energy in comparison with the same system without the smart charging station, and a 67% daily savings in comparison with a traditional consumer of the same size and characteristics.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11567/1037663
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