Preprint has been published in a journal as an article
DOI of the published article https://doi.org/10.1016/j.rineng.2025.104155
Preprint / Version 2

A Review on Socio-technical Transition Pathway to European Super Smart Grid: Trends, Challenges and Way Forward via Enabling Technologies

##article.authors##

  • Herman Zahid Department of Electrical Engineering, National University of Computer and Emerging Science Chiniot-Faisalabad Campus
  • Adil Zulfiqar Department of Electrical Engineering, National University of Computer and Emerging Science Chiniot-Faisalabad Campus
  • Muhammad Adnan National university of computer and emerging sciences
  • Sajid Iqbal Department of Electrical Engineering, National University of Computer and Emerging Science Chiniot-Faisalabad Campus
  • Salah Eldeen Gasim Mohamed

DOI:

https://doi.org/10.31224/4068

Keywords:

Super Smart Grid, Metaverse, Digital Twin, Blockchain, Artificial Intelligence

Abstract

This study employs retrospective empirical approach to assess the innovative methods and techniques in the European union perspective with the aim to transition from smart grid to super smart grid. The European union has embarked on a significant modernization of its electricity infrastructure. This transformation is centralized on the idea of the development of a super smart grid, which leverages on emerging technologies to enhance grid intelligence and interconnectivity all across the Europe. This study critically analyses the technical, regulatory and economic steps taken by the EU to facilitate this transition. It put forward the challenges due to the integration of RES, such as intermittency, cybersecurity threats, as well as the need for advance demand-supply balance for the network. It addresses the market hurdles for grid expansion and modernization, and also include the need for updated regulatory frameworks. This study also explores the cutting-edge solutions like blockchain based decentralized energy transactions, which offers a secure platform for an efficient, and autonomous energy balance. The development of a super smart grid makes use of artificial intelligence for predictive analytics, demand forecasting, and real-time decision-making. The metaverse and digital twin formulates simulation and optimization of energy systems. Furthermore, this study put forwards a comprehensive overview of the potential challenges and issues encountered in super smart grids, emphasizing the role of regulatory reforms and innovations in technology for achieving a sustainable, intelligent and interconnected European power grid.

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Posted

2024-11-04 — Updated on 2024-12-12

Versions

Version justification

A revised version of the previous version including new topologies to further improvise the research problem and comparsion with the existing state of the art work.