A Novel Digital Twin Platform for Accelerating Power Systems Restoration

Yiliang Fan; Xiaolin Ding; Ray Zhang; Yucong Zhao; Nan Chen; Xiao-Ping Zhang; Yixin Li; Chengyi Wu; Wenyan Qian

doi:10.1049/ein2.70025

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A Novel Digital Twin Platform for Accelerating Power Systems Restoration

更新时间：2026-07-22

- A Novel Digital Twin Platform for Accelerating Power Systems Restoration
- A Novel Digital Twin Platform for Accelerating Power Systems Restoration
- Energy Internet 2026年3卷第2期
- 作者机构：
  
  1. Department of Electronic, Electrical and Systems Engineering, University of Birmingham,Birmingham,UK
  2. Contribution: Conceptualization, Methodology, Writing - original draft, Validation
  3. National Grid Electricity Transmission,Warwick,UK
  4. Contribution: Conceptualization, Writing - review & editing, Methodology
  5. Arup, One Centenary Way,Birmingham,UK
  6. Contribution: Conceptualization, Writing - review & editing, Project administration
  7. Contribution: Writing - review & editing, Project administration
  8. Contribution: Conceptualization, Methodology, Writing - review & editing
  9. Contribution: Conceptualization, Methodology, Funding acquisition, Writing - review & editing, Resources, Project administration
  10. Contribution: Writing - original draft, Validation
  11. Contribution: Writing - original draft
- 作者简介：
- 基金信息：
- DOI：10.1049/ein2.70025
  中图分类号：
- 纸质出版：2026
- 稿件说明：
移动端阅览
Yiliang Fan, Xiaolin Ding, Ray Zhang, 等. A Novel Digital Twin Platform for Accelerating Power Systems Restoration[J]. Energy Internet, 2026,3(2).

Yiliang Fan, Xiaolin Ding, Ray Zhang, et al. A Novel Digital Twin Platform for Accelerating Power Systems Restoration[J]. Energy Internet, 2026, 3(2).
Yiliang Fan, Xiaolin Ding, Ray Zhang, 等. A Novel Digital Twin Platform for Accelerating Power Systems Restoration[J]. Energy Internet, 2026,3(2). DOI： 10.1049/ein2.70025.

Yiliang Fan, Xiaolin Ding, Ray Zhang, et al. A Novel Digital Twin Platform for Accelerating Power Systems Restoration[J]. Energy Internet, 2026, 3(2). DOI： 10.1049/ein2.70025.

摘要

Abstract

With the global energy structure transforming towards the goal of net zero emissions

the penetration of an inverter-based resource (IBR) in power systems is increasing. This transformation poses two critical challenges: the system post blackout restoration process becomes extremely complicated

and this would lead to increased risks of protection maloperation caused by low inertia and short-circuit level (SCL). To address these challenges

this paper proposes a digital twin (DT) platform to facilitate the restoration of the power system. This platform deploys a real-time digital simulator (RTDS) to establish a DT power grid. By collecting real-time data from phasor measurement units (PMUs)

the DT power grid can be synchronised with the physical system (emulated via RTDS). The key applications embedded in this DT platform are serving as a dynamic analysis tool to optimise and verify restoration plans (RPs)

provide decision-making support and enable adaptive protection and control (P&C). Network resilience analysis metrics are proposed for assessing the effectiveness of network restoration acceleration. Detailed specifications of the DT platform are then provided for achieving all functionalities of accelerating restoration

securing an innovative and feasible technical path for enhancing the operational resilience of power systems in the context of future energy transformation.

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