Quantum Communication-Assisted Synchronization Framework for Distributed 3D Power Grid Models Across Multi-Regional Control Centers
DOI:
https://doi.org/10.4108/eetsis.12031Keywords:
Quantum communication, Power grid, Digital twin, Quantum entanglement, Distributed energy resourcesAbstract
INTRODUCTION: The synchronization of three-dimensional digital twin models across geographically distributed power grid control centers represents a critical challenge in modern power system operations. Traditional synchronization methods including Network Time Protocol (NTP) and Precision Time Protocol (PTP) achieve only millisecond-level accuracy, which proves fundamentally insufficient for monitoring and responding to critical power grid transients that occur on sub-millisecond timescales. The proliferation of renewable energy sources and distributed generation resources further intensifies synchronization requirements. OBJECTIVES: This research develops a comprehensive quantum communication-assisted synchronization framework designed to achieve unprecedented temporal accuracy for distributed 3D power grid models spanning multi-regional control centers while maintaining compatibility with existing infrastructure. METHODS: A hierarchical quantum-classical hybrid architecture is proposed that strategically utilizes quantum entanglement channels for time-critical synchronization signals and classical communication channels for bulk data transmission. An adaptive fault-tolerance mechanism dynamically adjusts quantum error correction strategies based on real-time quantum channel quality assessments, with graceful degradation to classical protocols when necessary. RESULTS: Extensive simulations utilizing 128 IEEE 118-bus system models demonstrate sub-10 nanosecond synchronization precision—representing 10,000-fold improvement over NTP—with end-to-end latencies maintained below 10 microseconds. The framework exhibits robust performance with synchronization success rates exceeding 90% under 15% node failure conditions and demonstrates logarithmic O(log M) time complexity compared to O(M²) scaling for classical consensus protocols. CONCLUSION: The quantum communication-assisted framework delivers superior accuracy, scalability, and fault tolerance compared to classical synchronization protocols, establishing viability for next-generation smart grids with extensive distributed energy resources.
References
[1] O. Krishan, S. Suhag, An updated review of energy storage systems: Classification and applications in distributed generation power systems incorporating renewable energy resources, International Journal of Energy Research 43(12) (2019) 6171-6210.
[2] A. Estebsari, P.R. Mazzarino, L. Bottaccioli, E. Patti, IoT-enabled real-time management of smart grids with demand response aggregators, IEEE Transactions on Industry Applications 58(1) (2021) 102-112.
[3] A.B. Birchfield, T.J. Overbye, A review on providing realistic electric grid simulations for academia and industry, Current Sustainable/Renewable Energy Reports 10(3) (2023) 154-161.
[4] M.A. SIDDIQUI, M. UMER, High-power inverter for modern electric grids based on large-scale renewable sources, (2024).
[5] A. Mohammed, O. Saif, M. Abo-Adma, A. Fahmy, R. Elazab, Strategies and sustainability in fast charging station deployment for electric vehicles, Scientific reports 14(1) (2024) 283.
[6] J.D. Follum, R. Hovsapian, N.M. Stenvig, Y. Agalgaonkar, K. Chatterjee, K. Mahapatra, A. Riepnieks, A.J. Wilson, S. Chanda, S. Granda, Advanced Measurements for Resilient Integration of Inverter-Based Resources: PROGRESS MATRIX Year-1 Report, Pacific Northwest National Laboratory (PNNL), Richland, WA (United States), 2023.
[7] Y. Liu, B. Sun, Y. Wu, Y. Zhang, J. Yang, W. Wang, N.L. Thotakura, Q. Liu, Y. Liu, Time Synchronization Techniques in the Modern Smart Grid: A Comprehensive Survey, Energies 18(5) (2025) 1163.
[8] D.L. Mills, Internet time synchronization: the network time protocol, IEEE Transactions on communications 39(10) (2002) 1482-1493.
[9] T. Homer-Dixon, The upside of down: Catastrophe, creativity and the renewal of civilization, Vintage Canada2010.
[10] R.I. Hamilton, P.N. Papadopoulos, W. Bukhsh, K. Bell, Identification of important locational, physical and economic dimensions in power system transient stability margin estimation, IEEE Transactions on Sustainable Energy 13(2) (2022) 1135-1146.
[11] P. Fubin, Y. Yubo, G. Lei, S. Liangliang, The accuracy of IEEE 1588 time synchronization protocol and its improvement, 2015 12th IEEE International Conference on Electronic Measurement & Instruments (ICEMI), IEEE, 2015, pp. 280-284.
[12] P. Chen, Z. Yang, Understanding PTP performance in today’s wi-fi networks, IEEE/ACM Transactions on Networking 31(6) (2023) 3037-3050.
[13] D.D. Chowdhury, Packet Timing: Precision Time Protocol, NextGen Network Synchronization, Springer2021, pp. 117-150.
[14] B. Fan, C. Zhang, J. Chi, Y. Liang, X. Bao, Y. Cong, B. Yu, X. Li, G.-Y. Li, The molecular mechanism of retina light injury focusing on damage from short wavelength light, Oxidative medicine and cellular longevity 2022(1) (2022) 8482149.
[15] A. Gopalan, K.K. Arjunsingh, M. Ramya, J. Thangaraj, M. Venkatanaresh, K. Rajendran, O.K. Omran, M.A. Hossain, High performance efficiency of optical networking infrastructure characteristics with maximum speed of commercial fiber optic line cables employment, Journal of Optical Communications 45(s1) (2025) s2679-s2688.
[16] G. Martínez, J.A. Hernández, P. Reviriego, P. Reinheimer, Round trip time (rtt) delay in the internet: Analysis and trends, IEEE Network 38(2) (2023) 280-285.
[17] A. Althoubi, R. Alshahrani, H. Peyravi, Delay analysis in iot sensor networks, Sensors 21(11) (2021) 3876.
[18] L. Mastromauro, D.S. Andrade, M.O. Ozmen, M. Kinsy, Survey of Attacks and Defenses on Consensus Algorithms for Data Replication in Distributed Systems, IEEE Access (2025).
[19] Y. Xiao, N. Zhang, W. Lou, Y.T. Hou, A survey of distributed consensus protocols for blockchain networks, IEEE communications surveys & tutorials 22(2) (2020) 1432-1465.
[20] M. Salimitari, M. Chatterjee, Y.P. Fallah, A survey on consensus methods in blockchain for resource-constrained IoT networks, Internet of Things 11 (2020) 100212.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Youhui Chen, Zhonghua Lv, Ruixue Hu, Xinying Zhao, Dongxue Li

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.
