An optimization model for electrical vehicles scheduling in a smart grid. (June 2018)

• Record Type: Journal Article
• Authors: Ferro, G.; Laureri, F.; Minciardi, R.; Robba, M.
• Is Part Of: Sustainable energy, grids and networks. Volume 14(2018)
• Page Start: 62
• Page End: 70
• Publication Date: 2018-06
• Subjects: Optimization -- Electric vehicles -- Microgrids -- Scheduling; Renewable energy sources -- Periodicals; Smart power grids -- Periodicals; Electric power systems -- Periodicals; 333.794
• DOI: 10.1016/j.segan.2018.04.002
• Languages: English
• ISSNs: 2352-4677

Abstract

Abstract: Energy Management Systems (EMSs) are recognized as essential tools for the optimal management of smart grids. However, few of them consider, in their whole complexity, the integration of electrical vehicles (EVs) in smart grids, taking into account the requirements and the time specifications characterizing the service requests. In this paper, attention is focused on the formalization of a model for the optimal scheduling of charging of EVs in a smart grid, also considering the vehicle to grid process (i.e., the possibility for the EV to inject power during the charging process). In the formalization of an optimization problem for a smart grid, a deferrable demand is considered, which is represented by the charging demand of the set of EVs. The cost to be optimized for the considered problem includes the economic cost of energy production/acquisition (from the main grid) and the cost relevant to the delay in the satisfaction of the customers' demand (is represented as a tardiness cost). Also, the income coming from the service provided to vehicles is taken into account. The developed model is tested and applied in connection with a real case study characterized by a photovoltaic plant, two batteries, power production plants that use natural gas as primary energy, and a charging station.