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AHEAD

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AI informed Holistic EVs integration Approaches for Distribution grids

The AHEAD (AI-informed Holistic Electric Vehicles Integration Approaches for Distribution Grids) project will create a simulation environment capable of predicting the most convenient location to place the electric vehicle (EV) ch... ver más

31/05/2028

Líder desconocido

13M€

Presupuesto del proyecto: 13M€

Líder del proyecto Líder desconocido

Fecha límite participación Sin fecha límite de participación.

Ver 25 Participantes

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2024-05-27

HORIZON-CL5-2023-D3-03-01: Increasing the efficiency of innova... Expected Outcome:Projects are expected to develop further the harvesting of renewable energy in area...

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25 Participantes

EEM EMPRESA DE ELECTRICIDADE...

UNIVERSITETI POLITEKNIK I TI...

ENERGINET

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Duración del proyecto: 48 meses Fecha Inicio: 2024-05-27
Fecha Fin: 2028-05-31

Líder del proyecto Líder desconocido

Presupuesto del proyecto 13M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto The AHEAD (AI-informed Holistic Electric Vehicles Integration Approaches for Distribution Grids) project will create a simulation environment capable of predicting the most convenient location to place the electric vehicle (EV) charging stations and optimise both the usage of the power grid resources, and the charging stations located in urban and rural areas. This simulation environment will exploit the unique features of currently available AI models and include two layers: the spatial mapping one (placing the chargers where the people need them to be), and the power grid one (placing the chargers where the grid can support them). Innovative smart charging algorithms will be designed and tested in the model, to minimise the impact of EV charging pools on the network, and ensure the consumers have economic benefits. Moreover, these smart charging algorithms will be tested in three demonstration sites, dedicated to assessing the technical and economic feasibility of smart charging light and heavy-duty EVs, and boats. To this end, AHEAD gathered relevant partners from all the EV value-chain: technology providers who want to test their equipment in the real world, grid operators, who want to optimise the usage of the grid resources and mitigate the EV charging impact, and research institutions, who aim at advancing the knowledge on the topic and producing value for society. Particular attention is going to be placed on the user experience and cybersecurity part of the demonstrators, with specific partners who focus their efforts on understanding how to minimize the impact of smart charging on the user experience and on creating a model to represent cyber-attacks on the chargers to suggest efficient defensive mechanisms for system protection.

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