Authors: Dr. Arjun V. Ramesh, Megha S. Iyer
Abstract: Digital twin technology enables real-time virtual replication of physical electrical systems, providing predictive analytics, operational optimization, and enhanced reliability. By integrating IoT sensors, simulation models, and machine learning, digital twins facilitate monitoring, diagnostics, and control in power systems, industrial automation, and smart grids. This paper explores the architecture, modeling techniques, and applications of digital twins for electrical systems. Challenges including real-time data integration, model accuracy, and cybersecurity are discussed. Indian research contributions from small and mid-sized institutions are highlighted. Tables and 2D figures illustrate system architecture, data flow, and integration frameworks.
Keywords: Digital twin, Electrical systems, IoT integration, Predictive maintenance, Real-time simulation, Smart grid
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