A Novel Digital Twin Platform for Accelerating Power Systems Restoration

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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Publication Details

Journal
Energy internet.
Published
2026-07-02
DOI
https://doi.org/10.1049/ein2.70025
Primary Topic
Power System Optimization and Stability
Type
article
Field-Weighted Citation Impact
0.00

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article

A Novel Digital Twin Platform for Accelerating Power Systems Restoration

Yucong Zhao, Wenyan Qian, Xiaolin Ding, Yiliang Fan et al.
Energy internet.
Power System Optimization and Stability
article

A Novel Digital Twin Platform for Accelerating Power Systems Restoration

Yucong Zhao, Wenyan Qian, Xiaolin Ding, Yiliang Fan, Xiaoping Zhang, Nan Chen, Ray Zhang, Chengyi Wu, Yixin Li
article en

Abstract

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.

Energy internet.
Arup Group (United Kingdom) (GB), National Grid (United Kingdom) (GB), University of Birmingham (GB)
National Grid UK
Affordable and clean energy
Openalex Percentile: Top 12%
Power System Optimization and Stability
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A Novel Digital Twin Platform for Accelerating Power Systems Restoration — Yucong Zhao, Wenyan Qian, et al. · Energy internet. (2026) | TGRS Research Map | TGRS