AHEAD
AI-Informed Holistic EVs Integration Approaches for Distribution Grids
Summary
The AHEAD project aims to develop a simulation environment for optimally locating EV charging stations and efficiently using power grid resources in urban and rural areas. Utilising AI models, it includes spatial and power grid layers to place chargers where needed and where the grid can support them. Smart charging algorithms will be tested to minimise network impact and ensure economic benefits. The project involves diverse partners from the EV value chain and focuses on user experience and cybersecurity.
Three demonstration sites will assess the technical and economic feasibility of smart charging for light and heavy-duty EVs, and boats. In Portugal the demonstration activities will focus on the seamless integration of public and private EV charging infrastructures. The different activities will be developed and demonstrated in the locations, one is Lisbon and two in Funchal.
Start/End
01/06/2024 - 31/05/2028
Funding scheme
European Commission
Project reference
Grant agreement ID: 101160665
Partners
A2A SPA; AMINA DISTRIBUTION AS; AZIENDA TRASPORTI MILANESI; CAMARA MUNICIPAL DO FUNCHAL; TECHNICAL UNIVERSITY OF DENMARK; EASELINK GMBH; EEM EMPRESA DE ELECTRICIDADE DA MADEIRA SA; ELEKTRO GORENJSKA PODJETJE ZA DISTRIBUCIJO ELEKTRICNE ENERGIJE DD; INESC ID - INSTITUTO DE ENGENHARIADE SISTEMAS E COMPUTADORES, INVESTIGACAO E DESENVOLVIMENTO EM LISBOA; IST-ID ASSOCIACAO DO INSTITUTO SUPERIOR TECNICO PARA A INVESTIGACAO E O DESENVOLVIMENTO; EMPOWER OY; AVERE - THE EUROPEAN ASSOCIATION FOR ELECTROMOBILITY; LABELEC ESTUDOS DESENVOLVIMENTO E ACTIVIDADES LABORATORIAIS SA; MOBI.E SA; NORSK ELBILFORENING; NTT DATA ITALIA SPA; ROSKILDE UNIVERSITET; Spirii ApS; UNARETI Spa; UNIVERSITETI POLITEKNIK I TIRANES
Project website
