Performance Evaluation of a Cloud-Native Open-Source Power System Digital Twin for Real-Time Simulation.
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| Title: | Performance Evaluation of a Cloud-Native Open-Source Power System Digital Twin for Real-Time Simulation. |
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| Authors: | Noreña, Juan-Pablo1 (AUTHOR), Perez, Ernesto1 (AUTHOR) eperezg@unal.edu.co |
| Source: | Energies (19961073). Apr2026, Vol. 19 Issue 8, p1982. 16p. |
| Subject Terms: | *Power system simulation, *Cloud computing, *Real-time computing, *Benchmark problems (Computer science), *Cyber physical systems, *Digital twin, *Open source software, *Scalability |
| Abstract: | The increasing complexity of Cyber-Physical Energy Systems, driven by the high penetration of power electronics, advanced control, and digitalization, demands scalable, flexible real-time simulation platforms beyond traditional laboratory-based solutions. This paper investigates the feasibility of deploying open-source real-time power system simulation frameworks on cloud-based infrastructures while meeting real-time computational constraints. An open-source architecture based on DPsim and the VILLAS framework is implemented and evaluated across five computing environments using open-source tools: bare-metal, non-cloud virtual machines, private cloud Kubernetes clusters, public cloud virtual machines, and public cloud Kubernetes clusters. Each environment is carefully configured and tuned using real-time operating systems, CPU isolation, and affinity mechanisms to improve deterministic behavior. Performance and scalability are assessed through a benchmark based on replicated IEEE 9-bus systems, progressively increasing system size, and measuring simulation-timestep execution time. The results show that cloud and cloud-like infrastructures can support soft and, under controlled conditions, firm real-time simulation tasks, although achievable system scale decreases as additional abstraction layers are introduced. The study identifies practical performance limits for each infrastructure and discusses their suitability for different real-time simulation and co-simulation applications. These findings demonstrate that cloud-based real-time simulation can complement traditional digital real-time simulators, enabling scalable and cost-effective CPES experimentation. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: enr DbLabel: Energy & Power Source An: 193438322 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Performance Evaluation of a Cloud-Native Open-Source Power System Digital Twin for Real-Time Simulation. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Noreña%2C+Juan-Pablo%22">Noreña, Juan-Pablo</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Perez%2C+Ernesto%22">Perez, Ernesto</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> eperezg@unal.edu.co</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Apr2026, Vol. 19 Issue 8, p1982. 16p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Power+system+simulation%22">Power system simulation</searchLink><br />*<searchLink fieldCode="DE" term="%22Cloud+computing%22">Cloud computing</searchLink><br />*<searchLink fieldCode="DE" term="%22Real-time+computing%22">Real-time computing</searchLink><br />*<searchLink fieldCode="DE" term="%22Benchmark+problems+%28Computer+science%29%22">Benchmark problems (Computer science)</searchLink><br />*<searchLink fieldCode="DE" term="%22Cyber+physical+systems%22">Cyber physical systems</searchLink><br />*<searchLink fieldCode="DE" term="%22Digital+twin%22">Digital twin</searchLink><br />*<searchLink fieldCode="DE" term="%22Open+source+software%22">Open source software</searchLink><br />*<searchLink fieldCode="DE" term="%22Scalability%22">Scalability</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The increasing complexity of Cyber-Physical Energy Systems, driven by the high penetration of power electronics, advanced control, and digitalization, demands scalable, flexible real-time simulation platforms beyond traditional laboratory-based solutions. This paper investigates the feasibility of deploying open-source real-time power system simulation frameworks on cloud-based infrastructures while meeting real-time computational constraints. An open-source architecture based on DPsim and the VILLAS framework is implemented and evaluated across five computing environments using open-source tools: bare-metal, non-cloud virtual machines, private cloud Kubernetes clusters, public cloud virtual machines, and public cloud Kubernetes clusters. Each environment is carefully configured and tuned using real-time operating systems, CPU isolation, and affinity mechanisms to improve deterministic behavior. Performance and scalability are assessed through a benchmark based on replicated IEEE 9-bus systems, progressively increasing system size, and measuring simulation-timestep execution time. The results show that cloud and cloud-like infrastructures can support soft and, under controlled conditions, firm real-time simulation tasks, although achievable system scale decreases as additional abstraction layers are introduced. The study identifies practical performance limits for each infrastructure and discusses their suitability for different real-time simulation and co-simulation applications. These findings demonstrate that cloud-based real-time simulation can complement traditional digital real-time simulators, enabling scalable and cost-effective CPES experimentation. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=193438322 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/en19081982 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 1982 Subjects: – SubjectFull: Power system simulation Type: general – SubjectFull: Cloud computing Type: general – SubjectFull: Real-time computing Type: general – SubjectFull: Benchmark problems (Computer science) Type: general – SubjectFull: Cyber physical systems Type: general – SubjectFull: Digital twin Type: general – SubjectFull: Open source software Type: general – SubjectFull: Scalability Type: general Titles: – TitleFull: Performance Evaluation of a Cloud-Native Open-Source Power System Digital Twin for Real-Time Simulation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Noreña, Juan-Pablo – PersonEntity: Name: NameFull: Perez, Ernesto IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 04 Text: Apr2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19961073 Numbering: – Type: volume Value: 19 – Type: issue Value: 8 Titles: – TitleFull: Energies (19961073) Type: main |
| ResultId | 1 |