Two-stage stochastic sizing and packetized energy scheduling of BEV charging stations with quality of service constraints. (15th February 2020)

• Record Type: Journal Article
• Authors: Graber, Giuseppe; Calderaro, Vito; Mancarella, Pierluigi; Galdi, Vincenzo
• Is Part Of: Applied energy. Volume 260(2020)
• Publication Date: 2020-02-15
• Subjects: Charging stations -- Economic analysis -- Electric vehicles -- Optimization -- Quality of service; Power (Mechanics) -- Periodicals; Energy conservation -- Periodicals; Energy conversion -- Periodicals; 621.042
• DOI: 10.1016/j.apenergy.2019.114262
• Languages: English
• ISSNs: 0306-2619

Abstract

Highlights: A method to size charging stations and schedule charging times of EV is presented. 200.000 observed real parking events at the University of Salerno are analyzed. A packetized energy approach allows for solving the charging scheduling problem. The solution ensures a high QoS level and minimize the cost for the CS manager. Method and results are useful to study the potential of V2G applications. Abstract: The expected deployment of battery electric vehicles (BEVs) strongly depends on the development of an adequate charging station (CS) infrastructure that guarantees a certain level of quality of service (QoS) to the BEV users. This paper proposes a two-stage method to select the number and type of CSs in parking areas (PAs) and schedule the charging sessions of the incoming BEVs ensuring a predetermined QoS level while minimizing the cost for the CS manager. In particular, stage one solves the CS sizing problem while stage two involves a probabilistic simulation procedure able to solve the charging scheduling problem by using a packetized energy approach. We also take into account the typical charging current and voltage characteristic of a BEV battery pack, and the real statistical distribution of BEV arriving times and expected parking times. A case study based on the PA at the University of Salerno Campus is used to demonstrate the effectiveness of the proposed method.