Multi-energy network digital twin real-time simulation system and method based on holomorphic embedding

By combining fully embedded models and convergence radius models, the accuracy and efficiency issues of real-time simulation in multi-energy networks are solved, realizing efficient real-time digital twin simulation of multi-energy networks. It is suitable for dynamic process simulation of heating networks, gas networks, and power grids, and supports real-time control decision-making and hardware-in-the-loop testing.

CN117150734BActive Publication Date: 2026-07-03SHANDONG UNIV
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Patents(China)
Current Assignee / Owner
SHANDONG UNIV
Filing Date
2023-08-08
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

Existing technologies struggle to achieve high-precision and efficient real-time simulations in multi-energy networks (MENs), particularly due to the high computational cost of partial differential equations and the inaccuracy in determining the convergence radius of fully embedded methods, leading to simulation inaccuracies and performance degradation.

Method used

A real-time simulation system for digital twins of multi-energy networks is developed using a fully embedded approach. By using a fully embedded model and a radius of convergence model, the power series coefficients of the unbalanced function are simplified, the radius of convergence is determined, computational performance is enhanced, and real-time simulation is achieved.

Benefits of technology

It improves the simulation accuracy and efficiency of multi-energy networks, meets the requirements of real-time simulation, and is suitable for dynamic process simulation of heating networks, gas networks and power grids. It realizes output within a time step equal to or less than the expected operating time step and supports control decision-making and hardware-in-the-loop testing.

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Abstract

This invention proposes a real-time simulation system and method for multi-energy network digital twins based on fully embedded systems. It develops digital twins of various energy networks based on real-time simulation using a fully embedded method, and proposes fully embedded models and convergence radius models for various energy networks. The convergence radius model is used to obtain convergence information of the fully embedded model. The convergence radius model is determined by simplifying the power series coefficients of the unbalance function of the time-varying dynamic process of the multi-energy network state variables, thereby enhancing the computational performance of the fully embedded model and achieving real-time standards.
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Citation Information

Patent Citations

  • CN113517697A

  • CN115081250A