MONITORING AND OPTIMIZATION OF SUPERCONDUCTING POWER CABLES BASED ON DIGITAL TWINS TECHNOLOGY: AN OVERVIEW

Superconducting power cables represent a transformative technology in electrical power engineering, offering unparalleled efficiency and power density. However, their operational complexity and sensitivity to environmental factors necessitate advanced monitoring and optimization strategies. This paper provides an overview of digital twin-based approaches for the real-time monitoring, predictive maintenance, and performance optimization of superconducting power cables. Digital twins, which integrate real-time sensor data, physics-based models, and machine learning algorithms, enable the simulation of cable behaviour under diverse operating conditions. This overview highlights key applications of digital twins, including anomaly detection, thermal management, and cooling system optimization, while addressing challenges such as data integration and model accuracy. Case studies of high-temperature superconducting (HTS) cable systems are discussed to illustrate the practical benefits of digital twin technology in enhancing grid reliability and operational efficiency. The paper concludes with future research directions, emphasizing the role of digital twins in accelerating the adoption of superconducting power cables in modern power grids.