Potential of Quantum Computing Applications for Smart Grid Digital Twins and Future Directions

TL;DR

This paper reviews how quantum computing can enhance digital twin technology for smart grids, discusses current research, challenges, and proposes a framework for integrating quantum modules into digital twins to improve smart energy system management.

Contribution

It provides a comprehensive literature review, identifies research gaps, and proposes a conceptual framework for integrating quantum computing into digital twin architectures for smart grids.

Findings

Quantum algorithms can improve digital twin performance.

Hybrid quantum-classical frameworks are feasible for smart grids.

Identified key challenges and future research directions.

Abstract

The convergence of digital twin technology and quantum computing is opening new horizons for the modeling, control, and optimization of smart grid systems. This paper reviews the current research landscape at the intersection of these fields, with a focus on how quantum algorithms can enhance the performance of digital twins in smart energy systems. We conduct a thematic literature review and identify key research trends, technical challenges, and gaps in real-world adoption. Further, a conceptual framework is proposed to integrate quantum modules into classical digital twin architectures. The potential benefits of this hybrid approach for smart grid operation and future research directions are also discussed.