Quantum-Inspired Algorithms for Adaptive Load Balancing and Network Configuration in Modern Electrical Power Distribution Systems

Purushotham Endla, V. Naga Siva Rama Murthy, P. Balakrishnan, Vanitha Gurgugubelli, Ajmeera Kiran, Syed Zahidur Rashid

2025

Abstract

With the widespread adoption of DERs, electric vehicles, and variable load patterns, modern electrical power distribution systems are becoming more and more complex. Existing quantum-inspired algorithms have proved potential to solve optimization problems, but they face issues like scalability, limited real-time operation, and no integration with real-world grid conditions. This article presents a new Quantum Inspired Scalable, and Resilient Framework for adaptive load balancing to be carried out while dynamically and securely reconfiguring the NC in Smart Power Distribution Systems. In contrast to existing approaches, the proposed approach illustrates a unified hybrid quantum-classical architecture that incorporates dynamic parameter adaptation, multi-objective optimization, and renewable energy forecasting. The framework is validated on realistic datasets, and is shown to be faster to converge, more resistant to local optima, more cyber-physically secure, and more amenable to existing infrastructure and smart grid standards. Also, the system caters to disaster-aware reconfiguration, QoS-based load prioritization, and sustainability metrics such as CO₂ minimization. This research builds a solid and explainable foundation for intelligent, adaptive, and secure grid management in the era of digital energy transformation by filling critical gaps in existing literature.

Paper Citation

in Harvard Style

Endla P., Murthy V., Balakrishnan P., Gurgugubelli V., Kiran A. and Rashid S. (2025). Quantum-Inspired Algorithms for Adaptive Load Balancing and Network Configuration in Modern Electrical Power Distribution Systems. 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 227-235. DOI: 10.5220/0013861100004919

in Bibtex Style

@conference{icrdicct`2525,
author={Purushotham Endla and V. Murthy and P. Balakrishnan and Vanitha Gurgugubelli and Ajmeera Kiran and Syed Rashid},
title={Quantum-Inspired Algorithms for Adaptive Load Balancing and Network Configuration in Modern Electrical Power Distribution Systems},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25},
year={2025},
pages={227-235},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013861100004919},
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 - Quantum-Inspired Algorithms for Adaptive Load Balancing and Network Configuration in Modern Electrical Power Distribution Systems
SN - 978-989-758-777-1
AU - Endla P.
AU - Murthy V.
AU - Balakrishnan P.
AU - Gurgugubelli V.
AU - Kiran A.
AU - Rashid S.
PY - 2025
SP - 227
EP - 235
DO - 10.5220/0013861100004919
PB - SciTePress