Multi-energy flow coupled differential equations and distributed safety control for digital twin in integrated energy systems

Authors

  • Ruijia Guan Department of Applied Physics, The Hong Kong Polytechnic University, Hong Kong 999077, China
  • Yan He Beijing Thpower Co., Ltd., Beijing 100085, China
Article ID: 524
104 Views

DOI:

https://doi.org/10.18686/cest524

Keywords:

Integrated energy systems , Digital twin , Multi-energy flow coupling , Distributed control

Abstract

Digital twin technology offers significant potential for integrated energy systems (IES); however, existing approaches often lack an integrated framework that combines high-fidelity dynamic modeling of coupled multi-energy flows, distributed real-time control with safety guarantees, and proactive safety optimization. This article proposes an integrated optimization framework for energy systems tying together multi-energy flow coupled differential equations and distributed control strategies. By utilizing digital twin modeling, real-time safety regulation, and distributed control, remarkable performance improvements are achieved. Experimental results show that: (1) Compared with traditional centralized PID and distributed consensus approaches, the proposed coupled model improves the digital twin accuracy (ECA) to 95.4% ± 0.9%, representing an increase of 10.2 and 4.7 percentage points, respectively; (2) Compared with traditional approaches, the distributed control architecture decreases the convergence time (CT) to 2.1 ± 0.3 s; (3) The safety constraint violation rates (SVR) are controlled below 1.2% ± 0.7%; (4) Compared with traditional approaches, the multi-energy coordination optimizes the energy utilization efficiency (MEE) to 78.6% ± 1.9%, which is 13.5 percentage points more. Furthermore, theoretical analyses explain the synergistic optimization mechanism between coupled nonlinear terms and distributed consensus algorithms for stability and energy efficiency of the proposed system. This article offers an integrated “modeling-control-optimization” solution for integrated energy systems (IES) under high penetration renewable energy integration.

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Published

2025-12-23

How to Cite

Guan, R., & He, Y. (2025). Multi-energy flow coupled differential equations and distributed safety control for digital twin in integrated energy systems. Clean Energy Science and Technology, 4(1), 524. https://doi.org/10.18686/cest524

Issue

Vol. 4 No. 1 (2026)

Section

Article

License

Copyright (c) 2025 Ruijia Guan, Yan He

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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