HP2C-DT: High-Precision, High-Performance Digital Twin

The project embraces the digital and green transition to develop a High-Precision, High-Performance Computing-enabled Digital Twin (HP2C-DT) for modern power systems. HP2C-DT represents with high fidelity transmission, distribution, generation, railway and industrial networks, aiming to maximize resilience and real-time performance during the transition towards a 100% renewable system.

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Graphic representation of a digital twin

Project Description

HP2C-DT is a digital twin concept for power systems that blends physics-based models with real-time data, exploiting central HPC and edge computing to enable high-speed autonomous decision-making. It supports network owners and operators to operate safely power-electronics-dominated systems during the energy transition.

Modern dynamics capture: faithful representation of power-electronics-dominated networks.
HPC: large-scale, high-precision simulations and massive data processing.
Hybrid models: blending physics and measured data for real-time state.
Edge computing: fast local actions coordinated with central computing.
Autonomy: real-time decision-making to maximize resilience and performance.
Interoperability: open framework to interconnect DTs across network levels.

Specific objectives:

Represent very large networks with high accuracy
Real-time data-driven model updates
Architecture and implementation with edge-based deployment
Tools for transmission, distribution, generation and industrial applications
Open procedure to build electrical system DTs

Figure: General structure of the HP2C-DT digital twin

Project Tools

A. Online stability and interaction detection

Real time

Detect instabilities and interactions between elements.

Continuous assessment of stability and interactions in networks with high power-electronics penetration, enabling rapid mitigation.

Stability Interactions Real time

B. Network performance and equivalents

Optimization

Optimal operation and real-time equivalents calculation.

Optimizes operation leveraging power electronics controllability and computes equivalents (incl. short-circuit with PE) for system studies.

Optimization Equivalents Grid services

C. Protection-related tools

Online measurements

Protection tuning and coordination based on network state.

Adapts protections to topology, short-circuit capability and control mode (grid-following/forming), maximizing resilience.

Protection Adaptive Resilience

D. Probabilistic scenario generation

+1m/+15m/+24h

Preventive multi-period analysis.

Generates and evaluates scenarios with combinations of contingencies (N-2) to support preventive decisions improving performance and resilience.

Probabilistic Contingencies Prevention

E. Real-time autonomous control

Central + Edge

Automatic/autonomous grid operation.

Executes decisions based on tools A–D, distributing computation between central (or cloud) HPC and the edge for fast, coordinated responses.

Autonomy Edge HPC

Publications

HP2C-DT: High-Precision High-Performance Computer-enabled Digital Twin

Preprint

Future Generation Computing Systems journal

Authors: Eduardo Iraola, Mauro García-Lorenzo, Francesc Lordan-Gomis, Francesca Rossi, Eduardo Prieto-Araujo, Rosa Maria Badia

This paper presents HP2C-DT, an HPC-enabled digital twin architecture that overcomes the trade-off between real-time responsiveness and computational demands, validated through a power grid use case with improved efficiency, scalability, and responsiveness.

Computing continuum Digital twin High-Performance Computing (HPC)

Link DOI: arXiv:2506.10523

HPC-enabled digital twin for modern power networks

2024

Eigenverlag des Österreichischen Verbandes für Elektrotechnik

Authors: Eduardo Prieto-Araujo, Francesca Rossi, Juan Carlos Olives-Camps, E. Mateu-Barriendos, S. El Yaagoubi, Marcel Garrobé-Fonollosa, Joan Gabriel Bergas-Jané, Vinicius Albernaz-Lacerda-Freitas, Eduardo Iraola-de-Acevedo, Mauro García-Lorenzo

This article presents the development of a High-Performance Computing-enabled Digital Twin (HPC-DT) as an innovative solution designed to significantly enhance real-time power system management for grid operators. It begins by providing a comprehensive over-view of the HPC-DT architecture, detailing its key components and the technical methodology for integrating the digital twin with actual power systems. Following the architectural discus-sion, the article introduces a suite of specialized tools, many of which leverage the computa-tional power of HPC systems, to illustrate the practical capabilities of the proposed concept.

High-Performance Computing (HPC) Digital Twin Power Electronics-Dominated Power Systems

Link ISBN: 9783903249257

Open-source implementation of distribution network reconfiguration methods: Analysis and comparison

On going

International Journal of Electrical Power & Energy Systems

Authors: Ferran Bohigas-Daranas, Oriol Gomis-Bellmunt, Eduardo Prieto-Araujo

This paper presents a critical and practical approach to the evolution of distribution network reconfiguration algorithms, reviewing different methodologies, including classical heuristic algorithms, advanced meta-heuristic methodologies and purely mathematical approaches, analyzing their theoretical foundations, implementation strategies and computational complexity, based on extensive literature review and our own empirical testing.

Machine Learning Predictive Analytics Autonomous Systems

Link DOI: TBD

Identification of Critical Components in IEEE-118 Network through N-2 Contingency and Small-Signal Stability Analysis Using GridCal

On going

IEEE Transactions on Power Systems

Authors: Alexandre Gràcia-Calvo, Francesca Rossi, Eduardo Prieto-Araujo

A contingencies probabilistic analysis in the IEEE 118-bus electrical model using a digital twin and contingencies simulations to estimate failure probabilities. BLA BLA

Digital Twin Contingencies Probabilistic

Link DOI: TBD

Final Studies Projects

Desarrollo de algoritmo para un gemelo digital de alta precisión y alto rendimiento

2023

Author: Mauro García Lorenxo

This work develops an adaptable distributed computing algorithm to optimize diverse functions efficiently. It is framed within a project that leverages high-performance computing and digital twins to enable sustainable and resilient modern power systems.

Distributed Computing Digital Twin HPC

Probabilistic analysis of errors in an IEEE model using a digital twin: a study of successive scenarios and probabilities

2025

Author: Carla Segura Romero

This thesis analyses consecutive contingencies in the IEEE 14-bus electrical model using a digital twin and MonteCarlo simulations to estimate failure probabilities. The methodology validates statistical models, identifies critical elements, and highlights the implications for grid resilience and future research.

Digital Twin MonteCarlo Simulations Power System

ELECTRA: Visualitzador de xarxes elèctriques interactiu

2025

Author: Arnau Puigdemont Monllor

This project presents Electra, a web based interactive viewer designed to visualize, edit, and analyse electrical networks directly from the browser. The tool combines an intuitive graphical interface with a validated computation engine to enable power flow studies, detailed inspection of grid components, and dynamic interaction with network models. The methodology integrates agile development, modular architecture, and standard data formats, offering an accessible and scalable environment aimed at improving teaching, research, and collaborative work in modern power system analysis.

Interactive Grid Viewer Power Flow Analysis Web Based Electrical Networks