The rapid growth of Electric Vehicle (EV) adoption has intensified the need for investments in public Charging Stations (CS). With growing needs of CSs sizes, distribution system operators and national regulatory authorities are increasing the Grid Connection Power (GCP) costs. This is to steer investments on local Renewable Energy Sources - as Photovoltaic (PV) - and stationary Battery Energy Storage System (BESS) rather than on GCP. This trend, combined with the decreasing costs of BESS, introduces a complex challenge for investors when determining the optimal sizes for CSs. Since existing studies often overlook GCP costs, our study introduces a methodological framework for determining the optimal sizing of BESS and GCP for CSs, with a focus on the Italian context. In doing so, this work addresses two main concerns: the impact of costs and forecast (for EV demand and PV production) and the GCP-BESS cost relationship in the optimal asset cost breakdown. The proposed approach is framed as a security-constrained sizing model, coupled with sensitivity analysis and a level set evaluation. The findings of this research not only highlight the need for considering the GCP costs in similar sizing problems, but also the investment cost allocation in current and future scenarios.

Optimal Sizing of Battery and Grid Connection of Electric Vehicle Charging Stations

Ramaschi R.;Leva S.
2025-01-01

Abstract

The rapid growth of Electric Vehicle (EV) adoption has intensified the need for investments in public Charging Stations (CS). With growing needs of CSs sizes, distribution system operators and national regulatory authorities are increasing the Grid Connection Power (GCP) costs. This is to steer investments on local Renewable Energy Sources - as Photovoltaic (PV) - and stationary Battery Energy Storage System (BESS) rather than on GCP. This trend, combined with the decreasing costs of BESS, introduces a complex challenge for investors when determining the optimal sizes for CSs. Since existing studies often overlook GCP costs, our study introduces a methodological framework for determining the optimal sizing of BESS and GCP for CSs, with a focus on the Italian context. In doing so, this work addresses two main concerns: the impact of costs and forecast (for EV demand and PV production) and the GCP-BESS cost relationship in the optimal asset cost breakdown. The proposed approach is framed as a security-constrained sizing model, coupled with sensitivity analysis and a level set evaluation. The findings of this research not only highlight the need for considering the GCP costs in similar sizing problems, but also the investment cost allocation in current and future scenarios.
2025
2025 IEEE Kiel PowerTech, PowerTech 2025
Battery Energy Storage System
Electric Vehicle Charging Station
Grid Connection Power
Investment Costs
File in questo prodotto:
File Dimensione Formato  
Optimal_Sizing_of_Battery_and_Grid_Connection_of_Electric_Vehicle_Charging_Stations.pdf

Accesso riservato

: Publisher’s version
Dimensione 425.31 kB
Formato Adobe PDF
425.31 kB Adobe PDF   Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1301845
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact