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Optimal design of microgrid-based resilient hybrid electric vehicle station by considering uncertainties

Optimal design of microgrid-based resilient hybrid electric vehicle station by considering uncertainties
Optimal design of microgrid-based resilient hybrid electric vehicle station by considering uncertainties

Designing a resilient hybrid electric vehicle station that integrates battery electric vehicle (BEV) charging and hydrogen refueling, supported by renewable energy sources and hybrid storage systems, is a forward-thinking approach to sustainable transportation infrastructure. This design not only improves energy security but also contributes to environmental sustainability. The system, in terms of local energy sources, consists of solar, wind, battery, and hydrogen storage systems. To design the system optimally, considering uncertainties arising from renewable generation variability, vehicle demand fluctuations, and electricity market prices, a two-stage stochastic programming model is utilized, integrating Conditional Value-at-Risk (CVaR) to explicitly address extreme tail risks linked to demand jumps and generation inconsistencies. We conduct a performance evaluation of the designed system under varying grid connection capacities, resilience constraints, and charger configurations. The analysis reveals significant trade-offs among system resilience, investment costs, and operational profitability.

Charging station, Electric vehicle, Energy storage, Hydrogen, Sustainability
0360-3199
666-680
Canakoglu, Ethem
110ebda5-acde-4c83-94b9-f82716476d1f
Soykan, Gurkan
3a03ce24-2e22-4798-8234-1fbce2b91a9d
Er, Gulfem
ea882ea9-f5a6-4d34-9961-d287f27efea8
Canakoglu, Ethem
110ebda5-acde-4c83-94b9-f82716476d1f
Soykan, Gurkan
3a03ce24-2e22-4798-8234-1fbce2b91a9d
Er, Gulfem
ea882ea9-f5a6-4d34-9961-d287f27efea8

Canakoglu, Ethem, Soykan, Gurkan and Er, Gulfem (2025) Optimal design of microgrid-based resilient hybrid electric vehicle station by considering uncertainties. International Journal of Hydrogen Energy, 145, 666-680. (doi:10.1016/j.ijhydene.2025.05.157).

Record type: Article

Abstract

Designing a resilient hybrid electric vehicle station that integrates battery electric vehicle (BEV) charging and hydrogen refueling, supported by renewable energy sources and hybrid storage systems, is a forward-thinking approach to sustainable transportation infrastructure. This design not only improves energy security but also contributes to environmental sustainability. The system, in terms of local energy sources, consists of solar, wind, battery, and hydrogen storage systems. To design the system optimally, considering uncertainties arising from renewable generation variability, vehicle demand fluctuations, and electricity market prices, a two-stage stochastic programming model is utilized, integrating Conditional Value-at-Risk (CVaR) to explicitly address extreme tail risks linked to demand jumps and generation inconsistencies. We conduct a performance evaluation of the designed system under varying grid connection capacities, resilience constraints, and charger configurations. The analysis reveals significant trade-offs among system resilience, investment costs, and operational profitability.

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Canakoglu2025 - Accepted Manuscript
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Accepted/In Press date: 12 May 2025
e-pub ahead of print date: 11 June 2025
Published date: 7 July 2025
Keywords: Charging station, Electric vehicle, Energy storage, Hydrogen, Sustainability

Identifiers

Local EPrints ID: 504099
URI: http://eprints.soton.ac.uk/id/eprint/504099
ISSN: 0360-3199
PURE UUID: 03cbe71c-cf34-4f4f-9c65-4689c3771f4b
ORCID for Gulfem Er: ORCID iD orcid.org/0000-0002-8184-7451

Catalogue record

Date deposited: 26 Aug 2025 16:39
Last modified: 27 Aug 2025 02:14

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Contributors

Author: Ethem Canakoglu
Author: Gurkan Soykan
Author: Gulfem Er ORCID iD

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