An AI-Enabled Hybrid Cyber-Physical Framework for Adaptive Control in Smart Grids

• URL: http://arxiv.org/abs/2511.21590v2
• Date: Fri, 28 Nov 2025 09:30:33 GMT
• Title: An AI-Enabled Hybrid Cyber-Physical Framework for Adaptive Control in Smart Grids
• Authors: Muhammad Siddique, Sohaib Zafar,
• Abstract summary: This paper proposes a three-layer (physical, cyber, control) architecture, with an energy management system as the core of the system.<n>The proposed framework can ensure grid stability, optimize dispatch, and respond to ever-changing grid dynamics.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Evolving smart grids require flexible and adaptive control methods. A harmonized hybrid cyber-physical framework, which considers both physical and cyber layers and ensures adaptability, is one of the critical challenges to enable sustainable and scalable smart grids. This paper proposes a three-layer (physical, cyber, control) architecture, with an energy management system as the core of the system. Adaptive Dynamic Programming(ADP) and Artificial Intelligence-based optimization techniques are used for sustainability and scalability. The deployment is considered under two contingencies: Cloud Independent and cloud-assisted. They allow us to test the proposed model under a low-latency localized decision scenario and also under a centralized control scenario. The architecture is simulated on a standard IEEE 33-Bus system, yielding positive results. The proposed framework can ensure grid stability, optimize dispatch, and respond to ever-changing grid dynamics.

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