Economic Challenges in V2G Implementation: an Italian Market Analysis

The growth in recent years of electric vehicle (EV) fleets represents a valuable resource for enhancing grid flexibility. Indeed, Vehicle-to-Grid (V2G) technology can provide peak load-shaving services and reduce variability in renewable power generation. Despite V2G being commercially available, its adoption is still lower than expected due to factors such as users’ willingness to share their EV batteries and the lack of robust V2G market platforms. Moreover, existing research has primarily focused on maximizing aggregator benefits without adequately considering the economic conditions that trigger the V2G services in the market. Therefore, this work aims to address these overlooked aspects through sensitivity analysis based on real-world data, where considered economic conditions involve the needs of all stakeholders, including aggregators, the grid, and EV users. Additionally, aspects such as the impact of load forecasting errors on aggregator income have not received sufficient attention, and they are investigated in the paper. Particularly, overestimates in the amplitude of the EV loading curve lead to an 18% reduction in net gain compared with the optimal case. Time shifting error of the curve can lead to reductions of 3.5%.

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Publication Details

Published
2024-10-14
DOI
https://doi.org/10.1109/isgteurope62998.2024.10861890
Citations
3
Primary Topic
ICT Impact and Policies
Type
article
Field-Weighted Citation Impact
0.96
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article

Economic Challenges in V2G Implementation: an Italian Market Analysis

Giuseppe Graber, Vincenzo Galdi, Alfredo Vaccaro, Vito Calderaro et al.
3 citations
ICT Impact and Policies
0.96
article

Economic Challenges in V2G Implementation: an Italian Market Analysis

Giuseppe Graber, Vincenzo Galdi, Alfredo Vaccaro, Vito Calderaro, Fabrizio De, Lucio Ippolito
article en
3 citations

Abstract

The growth in recent years of electric vehicle (EV) fleets represents a valuable resource for enhancing grid flexibility. Indeed, Vehicle-to-Grid (V2G) technology can provide peak load-shaving services and reduce variability in renewable power generation. Despite V2G being commercially available, its adoption is still lower than expected due to factors such as users’ willingness to share their EV batteries and the lack of robust V2G market platforms. Moreover, existing research has primarily focused on maximizing aggregator benefits without adequately considering the economic conditions that trigger the V2G services in the market. Therefore, this work aims to address these overlooked aspects through sensitivity analysis based on real-world data, where considered economic conditions involve the needs of all stakeholders, including aggregators, the grid, and EV users. Additionally, aspects such as the impact of load forecasting errors on aggregator income have not received sufficient attention, and they are investigated in the paper. Particularly, overestimates in the amplitude of the EV loading curve lead to an 18% reduction in net gain compared with the optimal case. Time shifting error of the curve can lead to reductions of 3.5%.

University of Salerno (IT), University of Sannio (IT)
Openalex Percentile: Top 19%
ICT Impact and Policies
0.96
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