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

Muhammad Siddique, Sohaib Zafar
11/26/2025
cs.LG

No confident code implementation found for this paper.

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.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Introducing AI-Driven IoT Energy Management Framework

79% match2025

Reinforcement Learning Based Power Grid Day-Ahead Planning and AI-Assisted Control

77% match2023

A Context-Free Smart Grid Model Using Complex System Approach

77% match2025

Towards Efficient Multi-Objective Optimisation for Real-World Power Grid Topology Control

76% match2025

Power Plays: Unleashing Machine Learning Magic in Smart Grids

76% match2024

Optimal Power Grid Operations with Foundation Models

76% match2024

Cite this paper

@article{siddique2025aienabled,
  title  = {An AI-Enabled Hybrid Cyber-Physical Framework for Adaptive Control in Smart Grids},
  author = {Muhammad Siddique and Sohaib Zafar},
  year   = {2025},
  eprint = {2511.21590},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2511.21590v2}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2511.21590.svg)](https://codeofpaper.com/paper/2511.21590)

Discussion