Applications of Digital Twins in Power Systems: A Perspective

Leila Kamyabi; Tek Tjing Lie; Samaneh Madanian

doi:10.32397/tesea.vol3.n2.484

Applications of Digital Twins in Power Systems: A Perspective

Autores/as

Leila Kamyabi Auckland University of Technology
Tek Tjing Lie Auckland University of Technology https://orcid.org/0000-0002-1091-2121
Samaneh Madanian Auckland University of Technology https://orcid.org/0000-0001-6430-9611

DOI:

https://doi.org/10.32397/tesea.vol3.n2.484

Palabras clave:

Data Sciences, Digital Twin, Power Systems, solar PV and Wind Turbine Generation

Resumen

Data science-based digital twin models of renewable energy system technologies developed in a real-time data-rich environment help develop better decisions and predictions than those in the present environment. Based on this real-time analysis of countrywide data, digital twin contributes to effective and reduced cost-based power system control at the localised level. Developing digital twin models from the collection of relevant data is an innovative technology. The challenge is how to leverage all the operational data and analyse the use of data from across transmission and distribution networks to help achieve the objectives. This paper presents an overview of the existing applications of digital twins in power systems.

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Citas

Transactions on energy systems and engineering applications vol 3 No 2 cover

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Publicado

2022-11-04

Cómo citar

Kamyabi, L., Lie, T. T., & Madanian, S. (2022). Applications of Digital Twins in Power Systems: A Perspective. Transactions on Energy Systems and Engineering Applications, 3(2), 1–9. https://doi.org/10.32397/tesea.vol3.n2.484

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Número

Vol. 3 Núm. 2 (2022): Transactions on Energy Systems and Engineering Applications

Sección

Revisión

Licencia

Derechos de autor 2022 Tek Tjing Lie, Leila Kamyabi, Samaneh Madanian

Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.

Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution 4.0 International
License (http://creativecommons.org/licenses/by/4.0/), that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.