Cybersecurity-Integrated Smart Grid Model Using AI Algorithms for Real-Time Intrusion Detection and Power Flow Optimization

Nilesh Vasant Ingale, V. Subba Ramaiah, M. P. Revathi, Vanitha Gurgugubelli, Ariharan A., Ajmeera Kiran

2025

Abstract

Smart grids have evolved rapidly and require robust, intelligent, and secure solutions for manage energy distribution and cyber threats in real-time. In this paper, we introduce a new framework called Scalable and Explainable AI-Integrated Smart Grid Framework to deal intrusion detection and optimal power flow in a simultaneous manner. Our system, however, utilizes lightweight AI algorithms, privacy-preserving data pipelines and explainable decision models to tackle problems related to computational overhead, integration and interpretability, allowing for operational transparency and user trust, while learning from incomplete data. The architecture is modular and scalable; thus, it can easily be deployed in an incremental manner on different grid sizes and infrastructures, even on some old legacy systems. In addition, the framework employs adversarial training approaches and an online learning mechanism to iteratively adapt to new attacks and changing power requirements. Satisfying regulatory requirements and practicing principles of ethical AI, this solution is already deployable and again ready for the future. The experimental result shows performance improvement in terms of accuracy, response time, robustness in the presences of cyberattacks, and at the same time provides efficient power distribution across the grid.

Paper Citation

in Harvard Style

Ingale N., Ramaiah V., Revathi M., Gurgugubelli V., A. A. and Kiran A. (2025). Cybersecurity-Integrated Smart Grid Model Using AI Algorithms for Real-Time Intrusion Detection and Power Flow Optimization. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 371-380. DOI: 10.5220/0013866100004919

in Bibtex Style

@conference{icrdicct`2525,
author={Nilesh Ingale and V. Ramaiah and M. Revathi and Vanitha Gurgugubelli and Ariharan A. and Ajmeera Kiran},
title={Cybersecurity-Integrated Smart Grid Model Using AI Algorithms for Real-Time Intrusion Detection and Power Flow Optimization},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25},
year={2025},
pages={371-380},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013866100004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25
TI - Cybersecurity-Integrated Smart Grid Model Using AI Algorithms for Real-Time Intrusion Detection and Power Flow Optimization
SN - 978-989-758-777-1
AU - Ingale N.
AU - Ramaiah V.
AU - Revathi M.
AU - Gurgugubelli V.
AU - A. A.
AU - Kiran A.
PY - 2025
SP - 371
EP - 380
DO - 10.5220/0013866100004919
PB - SciTePress