A Real-Time Digital Twin Approach on Three-Phase Power Converters

• Published in: 2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE) pp. 1 - 7
• Main Authors: De Lopez Diz, Sergio, Lopez, Roberto Martin, Pena, Emilio Jose Bueno, Senchez, F. Javier Rodriguez
• Format: Conference Proceeding
• Language: English
• Published: IEEE 19-06-2023
• Subjects: Digital twins; Digital-Twin; Edge-Computing; Electric potential; Fault detection; Image edge detection; Industrial electronics; Power conditioning; Real-Time; Real-time systems
• ISSN: 2163-5145
• DOI: 10.1109/ISIE51358.2023.10228046

The Digital Twin (DT) concept is leading digitisation in the energy sector by providing real-time data from models that replicate physical systems with high-fidelity. The aim of this paper is to present the detailed modelling and implementation of a DT as an edge-computing solution that faithfully reflects in real-time the behaviour of a controlled three-phase power converter. The experimental evaluation of the DT technology on a complete Power Conditioning System (PCS) allow to verify the similarity between the digital replica and the actual converter. The outcomes achieved demonstrate the feasibility of the integration of a DT applied to three-phase power converters, overcoming research works related to this concept, where the focus is on DC/DC converters with lower complexity. Finally, this development serves as a first step towards achieving robust and parallelised DT as a basis for its application to monitoring, fault detection and reliability of converters.