Introduction to Digital Twins for the Smart Grid

2026-02-15

AI Summary

This work proposes a unified digital twin–based framework to address the heightened complexity in design, operation, and maintenance of smart grids arising from the tight coupling between physical and software components. For the first time, it systematically demonstrates the pivotal role of digital twins across the entire grid lifecycle. By constructing a high-fidelity virtual replica that integrates real-time simulation and automated decision-making, the approach enables safe and efficient validation during the design phase and facilitates dynamic load balancing and intelligent control during operation. The framework not only provides a low-cost, high-safety environment for experimentation and maintenance—significantly enhancing system efficiency and automation—but also establishes a solid theoretical and practical foundation for the engineering application of digital twins in energy systems.

Technology Category

• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Search and Optimization: Sampling/Simulation-based Search
• Intelligent Robots: Manipulation

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Energy management for devices in mobile Web and WoT environments
• Economics, Online Markets and Human Computation: Incentives in network design for Web infrastructures and ecosystems
• Responsible Web: Machine-in-the-loop, human agency and autonomy

Abstract

This chapter provides an introduction to the foundations of digital twins and makes the case for employing them in smart grids. As engineered systems become more complex and autonomous, digital twin technology gains importance as the unified technological platform for design, testing, operation, and maintenance. Smart grids are prime examples of such complex systems, in which unique design and operation challenges arise from the combination of physical and software components. As high-fidelity in-silico replicas of physical components, digital twins provide safe and cost-efficient experimentation facilities in the design and verification phase of smart grids. In the operation phase of smart grids, digital twins enable automated load balancing of grids through real-time simulation and decision-making. These, and an array of similar benefits, position digital twins as crucial technological components in smart grids.

Problem

• digital twins
• smart grid
• complex systems
• real-time simulation
• design and operation challenges

Innovation

• Digital Twin
• Smart Grid
• Real-time Simulation
• Automated Load Balancing
• High-fidelity Modeling