Quantum Key Distribution in Power System Communication

As service networks pass in the direction of distributed structures, microgrids are becoming increasingly important to improve both resistance and energy efficiency. However, reliance on digital communication also depends on a considerable number of cyber threats. Unauthorized access attempts can be detected through increased Quantum Bit Error Rates (QBER). Additionally, it also improves major reliability by including error correction techniques such as low density (LDPC) parity testing and Reed-Solomon codes. The results show that quantum key distribution (QKD) greatly enhances security by blocking unauthorized access, while also ensuring encryption suitable for low latency real-time microgroup management. We introduce a quantum key distribution -based security framework tailored for Supervisory Control and Data Acquisition (SCADA) systems, Distributed Energy Resources (DERs), and critical infrastructure. Our evaluation uses simulations to analyze Quantum Bit Error Rates across various noise and eavesdropping scenarios, examining their impact on encryption latency and overall system integrity. These findings underscore the viability of quantum key distribution for next-generation power grids, offering robust protection against emerging quantum cyber threats. This study provides a foundation for seamlessly integrating quantum key distribution into energy systems, advancing toward quantum-resilient microgrid communication.

Institutions

Publication Details

Published
2025-06-27
DOI
https://doi.org/10.1109/edm65517.2025.11096656
Primary Topic
Multimodal Machine Learning Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantum Key Distribution in Power System Communication

Multimodal Machine Learning Applications
article

Quantum Key Distribution in Power System Communication

article en

Abstract

As service networks pass in the direction of distributed structures, microgrids are becoming increasingly important to improve both resistance and energy efficiency. However, reliance on digital communication also depends on a considerable number of cyber threats. Unauthorized access attempts can be detected through increased Quantum Bit Error Rates (QBER). Additionally, it also improves major reliability by including error correction techniques such as low density (LDPC) parity testing and Reed-Solomon codes. The results show that quantum key distribution (QKD) greatly enhances security by blocking unauthorized access, while also ensuring encryption suitable for low latency real-time microgroup management. We introduce a quantum key distribution -based security framework tailored for Supervisory Control and Data Acquisition (SCADA) systems, Distributed Energy Resources (DERs), and critical infrastructure. Our evaluation uses simulations to analyze Quantum Bit Error Rates across various noise and eavesdropping scenarios, examining their impact on encryption latency and overall system integrity. These findings underscore the viability of quantum key distribution for next-generation power grids, offering robust protection against emerging quantum cyber threats. This study provides a foundation for seamlessly integrating quantum key distribution into energy systems, advancing toward quantum-resilient microgrid communication.

Skolkovo Institute of Science and Technology (RU)
Affordable and clean energy
Openalex Percentile: Top 45%
Multimodal Machine Learning Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Quantum Key Distribution in Power System Communication · (2025) | TGRS Research Map | TGRS