User Satisfaction and Grid Reliability through a Charge Management Mechanism for Multi-Type Electric Vehicles Considering Interaction of Hydrogen-Electric Grid Operators


The proposed research put forwards a multi-charge stations (MCS) management for Multi types of Electric vehicles (MEV) considering consumer behavior and grid reliability, which are crucial for the green transformation of the upcoming mobility ecosystem. Unlike previous studies that focused solely on energy conversion for MCS coordination or separate MEVs charge management, this research will investigate the optimal charge management for MEV, taking into account the interaction between Hydrogen-Electric Grid Operators (HEGO) and MEV service operators by utilizing real-world data. The goal is to optimize vehicle usage, ensure reliability, promote sustainability, and consider the profit objectives of both the user and the system operator. Furthermore, the study aims to optimize the sizing and siting of MCS through spatial-temporal prediction of MEV and hydrogen/electricity network intersection data. The proposed model has the potential to facilitate the development of a sustainable energy system in line with the goals of the European project.

Grupo de investigação: Transformação Digital e Inovação nas Organizações (TDIO)

Objectivos de Desenvolvimento Sustentável:

7. Affordable and Clean Energy

9. Industry, Innovation and Infrastructure

11. Sustainable Cities and Communities

12. Responsible Production and Consumption

13. Climate Action

Investigador responsável

Sérgio Santos

UPT-REMIT, Portugal

Outros investigadores

João P.S. Catalão


João C.O. Matias

UA-GOVCOPP, Portugal

Miadreza Shafie-khah

UVaasa, Finland

Mohammad S. Javadi

INESC-TEC, Portugal

Mohamed Lotfi

SYSTEC-ARISE, Clean Watt, Portugal

Morteza Vahid-Gavihdel



  • Gough, M., Santos, S. F., Javadi, M. S., Home-Ortiz, J. M., Castro, R., & Catalão, J. P. S. (2023). Bi-level stochastic energy trading model for technical virtual power plants considering various renewable energy sources, energy storage systems and electric vehicles. Journal of Energy Storage, 68(107742), 1-14.

    Lotfi, M., Almeida, T., Javadi, M. S., Osório, G. J., Monteiro, C. & Catalão, J. P. S. (2022). Coordinating energy management systems in smart cities with electric vehicles. Applied Energy, 307(118241), 1-34. doi: 10.1016/j.apenergy.2021.118241.

    Osório, G. J., Gough, M., Lotfi, M., Santos, S. F., Espassandim, H. M. D., Shafie-khah, M., & Catalão, J. P. S. (2021). Rooftop photovoltaic parking lots to support electric vehicles charging: A comprehensive survey. International Journal of Electrical Power & Energy Systems, 133(107274). DOI: 10.1016/j.ijepes.2021.107274

    Osório, G. J., Lotfi, M., Gough, M., Javadi, M., Espassandim, H. M. D., Shafie-khahd, M., & Catalão, J. P. S. (2021). Modelling an electric vehicle parking lot with solar rooftop participating in the reserve market and in ancillary services provision. Journal of Cleaner Production, 318(128503). DOI: 10.1016/j.jclepro.2021.128503.

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