Digital Twins for Hazard-Resilient Power Grids

This timely and comprehensive study explores how emerging digital technologies can strengthen the resilience and sustainability of modern electricity systems in the face of growing environmental and technological challenges.

Electricity networks today are operating in an increasingly complex risk landscape, shaped by extreme weather events, the rapid expansion of renewable energy sources, and evolving cyber threats. Traditional approaches to managing and protecting power systems are no longer sufficient. This paper addresses that gap by examining the potential of Digital Twins—virtual replicas of physical power grids that are continuously updated using real-time data—to transform how energy systems are monitored, managed, and restored.

A central contribution of the paper is its focus on Climate-Aware Digital Twins (CADTs). These enhanced systems integrate weather and climate data directly into grid operations, allowing energy infrastructure to anticipate and respond proactively to hazards such as floods, hurricanes, and heatwaves. By combining artificial intelligence, satellite monitoring, and advanced data analytics, digital twins can forecast disruptions before they occur, optimise the coordination of local and renewable energy resources during crises, and support faster, more efficient recovery after extreme events.

Drawing on a PRISMA-guided systematic review, the study synthesises recent advances across a wide range of applications, including microgrid resilience, demand response optimisation, renewable-dominated power networks, and satellite-assisted system recovery. It highlights how enabling technologies—such as machine learning, edge-cloud computing, blockchain, and the Internet of Things—are making it possible to create highly responsive, adaptive, and increasingly autonomous energy systems.

At the same time, the paper offers a clear-eyed assessment of the challenges that remain. Key barriers include delays in data processing, the computational demands of large-scale system modelling, difficulties integrating new technologies with existing infrastructure, and growing cybersecurity risks in highly connected networks. Addressing these issues will be critical to realising the full potential of digital twin technologies.

Looking ahead, the authors set out a strategic roadmap for the development of intelligent, self-healing, and hazard-resilient power grids. Their work provides an important foundation for future research, policy, and investment, supporting the transition to energy systems that are not only more sustainable, but also better equipped to withstand the uncertainties of a changing climate.

This research was supported by UK Research and Innovation (UKRI) under the SAT-Guard project (MR/Z50578X/1) and the EPSRC VPP-WARD project (EP/Y005376/1).

Authors: Muhammed Cavus, Jing Jiang, Adib Allahham, Awagan Goyal Rameshrao, Eamon Scullion, Bruce D. Malamud, Hongjian Sun, Wai Pang Ng

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