Centralised vehicle-to-grid smart charging supported by PV generation for power variance minimisation at the transformer: A user’s perspective analysis

IF 15 1区 工程技术 Q1 ENERGY & FUELS Etransportation Pub Date : 2025-01-24 DOI:10.1016/j.etran.2025.100394
M. Secchi , D. Macii , G. Barchi , M. Marinelli
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Abstract

Recent studies show that the electric vehicle (EV) fleet in the EU will reach 37–38 million units by 2035. Most of them are expected to be charged at home, boosting the number of residential charging stations to be installed. In order to decrease their environmental impact, these stations should be powered by clean energy sources, such as distributed photovoltaic (PV) generators. However, the increased penetration of EVs and PVs may cause large power supply and demand fluctuations, stressing the substation transformers. This paper proposes a centralised bidirectional Vehicle-to-Grid (V2G) smart EV charging policy minimising the net-load power variance (NLV) at the transformer. The proposed approach relies on the iterative solution of a Mixed-Integer Quadratically-Constrained Quadratic Programming (MIQCQP) problem that, unlike other research papers, keeps into account users’ charging/discharging requirements, and realistic charging limitations and efficiency. The impact of the resulting EV charging schedules is analysed at a district level for growing EV and PV penetration values, then compared with the results obtained with both unidirectional (V1G) and uncontrolled (UC) EV charging. Key elements of novelty of the work are: (i) the formalisation of the optimisation problem and its scalability potential, allowing for a multi-year analysis; (ii) an accurate assessment of the user self-sufficiency and the EV battery degradation by means of a physics-inspired model; (iii) an evaluation of the potential economic impact for EV owners over multiple years. Applying the proposed V2G strategy to battery electric vehicles (BEVs) reduces the NLV at the transformer by up to 80%, while increasing self-sufficiency by up to 23%, producing a minimal battery degradation. In the current market scenario, if the Distribution System Operator (DSO) offers a fair compensation for the V2G grid support, the potential yearly economic savings for battery electric vehicle (BEV) owners equipped with a residential PV generator range between 10% and 20%. This happens despite the higher V2G charging stations’ upfront costs and the faster BEV battery degradation.

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来源期刊
Etransportation
Etransportation Engineering-Automotive Engineering
CiteScore
19.80
自引率
12.60%
发文量
57
审稿时长
39 days
期刊介绍: eTransportation is a scholarly journal that aims to advance knowledge in the field of electric transportation. It focuses on all modes of transportation that utilize electricity as their primary source of energy, including electric vehicles, trains, ships, and aircraft. The journal covers all stages of research, development, and testing of new technologies, systems, and devices related to electrical transportation. The journal welcomes the use of simulation and analysis tools at the system, transport, or device level. Its primary emphasis is on the study of the electrical and electronic aspects of transportation systems. However, it also considers research on mechanical parts or subsystems of vehicles if there is a clear interaction with electrical or electronic equipment. Please note that this journal excludes other aspects such as sociological, political, regulatory, or environmental factors from its scope.
期刊最新文献
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