Autors: Stanchev, P. A., Hinov, N. L.
Title: Digital Twins in Smart Power Grids: New Approaches for Simulation, Control and Optimization
Keywords: Artificial Intelligence, Digital Twins, Energy Grid Optimization, Realtime Management, Smart Grids

Abstract: Smart grids are a key infrastructure for modern energy systems, providing effective integration of renewable energy sources, improved reliability, and flexibility. One of the most innovative approaches for the management and optimization of these systems is the use of digital twins, which are virtual copies of physical networks, capable of simulating and predicting in real time the behavior and state of the system. This work examines methodologies for creating and implementing digital twins within smart grids, including integration with artificial intelligence, reinforcement learning, and predictive models for electricity consumption and production. The study aims to propose new approaches to improve the efficiency, reliability, and sustainability of electricity systems, while demonstrating practical benefits through specific examples and case studies.

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Issue

2025 10th International Conference on Energy Efficiency and Agricultural Engineering, EE and AE 2025 - Conference Proceedings, 2026, Bulgaria, https://doi.org/10.1109/EEAE65901.2025.11273599

Copyright IEEE

Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus