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Techno-Economic Analysis and Sizing of RFB and Supercapacitor-Based HESS for an EV Charging Station
University West, Department of Engineering Science. Centre Sustainable Energy Fondazione Bruno Kessler, Trento (ITA). (KAMPT)
Centre Sustainable Energy Fondazione Bruno Kessler, Trento (ITA).
Centre Sustainable Energy Fondazione Bruno Kessler, Trento (ITA).
Centre Sustainable Energy Fondazione Bruno Kessler, Trento (ITA).
2024 (English)In: 2024 AEIT International Annual Conference (AEIT), Trento, Italy, 2024, Institute of Electrical and Electronics Engineers (IEEE), 2024, p. 1-6Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a techno-economic analysis for the optimal sizing of a Hybrid Energy Storage System (HESS) integrating a Redox Flow Battery (RFB) and a Supercapacitor (SC) for an Electric Vehicle (EV) charging station. The SC is used for shaving noisy peak loads and ensuring grid stability, while the use of RFB is optimized through genetic algorithm-based multi-period optimization considering time-of-use (ToU) pricing and energy arbitrage. The profitability of HESS is analyzed and evaluated, and the results indicate that, with the current capital costs, utilizing HESS for this specific use case may not always be directly profitable. However, if installation costs were to decrease, employing HESS can become economically advantageous. Additionally, the management tool and optimization algorithms developed for HESS can be highly beneficial in a wide range of other scenarios.  

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2024. p. 1-6
Keywords [en]
Battery storage; Capacitor storage; Cost benefit analysis; Flow batteries; Hybrid vehicles; State of charge; Charging station; Electric vehicle charging; Hybrid energy storage system modeling and sizing; Hybrid energy storage systems; Multi-period; Multi-period optimization; Optimisations; System models; System sizings; Techno-Economic analysis; Charging stations
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Production Technology
Identifiers
URN: urn:nbn:se:hv:diva-22764DOI: 10.23919/AEIT63317.2024.10736734Scopus ID: 2-s2.0-85210879273ISBN: 978-88-87237-62-7 (electronic)OAI: oai:DiVA.org:hv-22764DiVA, id: diva2:1925452
Conference
2024 AEIT International Annual Conference (AEIT), Trento, Italy, 2024
Note

CC BY 4.0

Available from: 2025-01-08 Created: 2025-01-08 Last updated: 2025-09-30Bibliographically approved

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