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Electronics 2019, 8(1), 31; https://doi.org/10.3390/electronics8010031

Cost Minimization Energy Control Including Battery Aging for Multi-Source EV Charging Station

1
Department of Electrical and Information Engineering “M. Scarano”, University of Cassino and Southern Lazio, 03043 Cassino, Italy
2
Center for Automotive Research, The Ohio State University, Columbus, OH 43210, USA
*
Author to whom correspondence should be addressed.
Received: 3 November 2018 / Revised: 6 December 2018 / Accepted: 27 December 2018 / Published: 1 January 2019
(This article belongs to the Section Electrical and Autonomous Vehicles)
Full-Text   |   PDF [1482 KB, uploaded 1 January 2019]   |  

Abstract

A Multi-Source Electric Vehicle Charging Station (MS-EVCS) is a local entity that combines the grid energy with Distributed Energy Resources (DERs) with the aim of reducing the grid impact due to electric vehicles (EVs) charging events. The integration of stationary and in-vehicle Energy Storage Systems (ESSs) in MS-EVCSs has gained increasing interest thanks to the possibility of storing energy at off-peak hours to be made available at peak-hours. However, the ESS technology and the vehicle-to-grid (V2G) concept show several issues due to cost, battery life cycle, reliability, and management. The design of the MS-EVCS energy management system is of primary importance to guarantee the optimal usage of the available resources and to enhance the system benefits. This study presents a novel energy management strategy for Real-Time (RT) control of MS-EVCS considering DERs, stationary ESS, and V2G. The proposed energy management control allows defining the MS-EVCS control policy solving several cascaded-problems with the aim of achieving the minimum operating cost when the battery degradation and the stochastic nature of the sources are considered. The key feature of the proposed methodology is the lower computational effort with respect to traditional optimal control methodologies while achieving the same optimal solution. View Full-Text
Keywords: EV charging stations; battery aging; distributed energy sources (DESs); optimal power flow management EV charging stations; battery aging; distributed energy sources (DESs); optimal power flow management
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Abronzini, U.; Attaianese, C.; D’Arpino, M.; Di Monaco, M.; Tomasso, G. Cost Minimization Energy Control Including Battery Aging for Multi-Source EV Charging Station. Electronics 2019, 8, 31.

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