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

Summary

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.

Research Group: Digital Transformation and Innovation in Organisations (DTIO)

Sustainable Development Goals:

7. Affordable and Clean Energy

9. Industry, Innovation and Infrastructure

11. Sustainable Cities and Communities

12. Responsible Production and Consumption

13. Climate Action

Responsible researcher:

Sérgio Santos

UPT-REMIT, Portugal

Orcid Envelope

Other Researchers

Gerardo Silva

Orcid Envelope

João P.S. Catalão

FEUP-SYSTEC, Portugal

Orcid Envelope

João C.O. Matias

UA-GOVCOPP, Portugal

Orcid Envelope

Miadreza Shafie-khah

UVaasa, Finland

Orcid Envelope

Mohammad S. Javadi

INESC-TEC, Portugal

Orcid Envelope

Mohamed Lotfi

SYSTEC-ARISE, Clean Watt, Portugal

Orcid Envelope

Morteza Vahid-Gavihdel

(INESC-TEC)

Orcid Envelope

Publications

  • 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. https://doi.org/10.1016/j.est.2023.107742
    http://hdl.handle.net/11328/4950

    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. http://hdl.handle.net/11328/3912

    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 http://hdl.handle.net/11328/3708

    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. http://hdl.handle.net/11328/3709

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