LAPSE:2023.20553
Published Article
LAPSE:2023.20553
SGAM-Based Analysis for the Capacity Optimization of Smart Grids Utilizing e-Mobility: The Use Case of Booking a Charge Session
Moisés Antón García, Ana Isabel Martínez García, Stylianos Karatzas, Athanasios Chassiakos, Olympia Ageli
March 20, 2023
Abstract
The description of the functionality of a smart grid’s architectural concept, analyzing different Smart Grid (SG) scenarios without disrupting the smooth operation of the individual processes, is a major challenge. The field of smart energy grids has been increasing in complexity since there are many stakeholder entities with diverse roles. Electric Vehicles (EVs) can transform the stress on the energy grid into an opportunity to act as a flexible asset. Smart charging through an external control system can have benefits for the energy sector, both in grid management and environmental terms. A suitable model for analyzing and visualizing smart grid use cases in a technology-neutral manner is required. This paper presents a flexible architecture for the potential implementation of electromobility as a distributed storage asset for the grid’s capacity optimization by applying the Use Case and Smart Grid Architecture Model (SGAM) methodologies. The use case scenario of booking a charge session through a mobile application, as part of the TwinERGY Horizon 2020 project, is deployed to structure the SGAM framework layers and investigate the applicability of the SGAM framework in the integration of electromobility as a distributed storage asset into electricity grids with the objective of enhanced flexibility and decarbonization.
Keywords
electricity grids, electromobility, EV charging, SGAM framework
Suggested Citation
García MA, García AIM, Karatzas S, Chassiakos A, Ageli O. SGAM-Based Analysis for the Capacity Optimization of Smart Grids Utilizing e-Mobility: The Use Case of Booking a Charge Session. (2023). LAPSE:2023.20553
Author Affiliations
García MA: Department of Technology, ETRA, 46018 Valencia, Spain
García AIM: Department of Technology, ETRA, 46018 Valencia, Spain
Karatzas S: Civil Engineering Department, University of Patras, 26500 Rio, Greece [ORCID]
Chassiakos A: Civil Engineering Department, University of Patras, 26500 Rio, Greece [ORCID]
Ageli O: Civil Engineering Department, University of Patras, 26500 Rio, Greece [ORCID]
Journal Name
Energies
Volume
16
Issue
5
First Page
2489
Year
2023
Publication Date
2023-03-06
ISSN
1996-1073
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Original Submission
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PII: en16052489, Publication Type: Journal Article
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LAPSE:2023.20553
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https://doi.org/10.3390/en16052489
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