Digital Twin (DT) technology is transforming the energy conversion industry by replicating the behavior of physical systems with high fidelity in real-time. This paper presents a parameters estimation approach based on the DT method applied to 3-Phase AC/DC switching converters. A Particle Swarm Optimization (PSO) algorithm is employed to estimate the characteristics of the L-type AC filter and the DC capacitance. Balanced and unbalanced situations have been tested to demonstrate the robustness and feasibility of the proposal. The results show the potential of the procedure for application in system identification and condition monitoring.
Di Nezio, G., De Lopez Diz, S., Di Benedetto, M., Lidozzi, A., Bueno Pena, E.J., Solero, L. (2023). Parameters Estimation of a 3-Phase AC-DC Converter based on the Digital Twin Method. In 2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023 (pp.2937-2944). Institute of Electrical and Electronics Engineers Inc. [10.1109/ECCE53617.2023.10362069].
Parameters Estimation of a 3-Phase AC-DC Converter based on the Digital Twin Method
Di Nezio G.;Di Benedetto M.;Lidozzi A.;Solero L.
2023-01-01
Abstract
Digital Twin (DT) technology is transforming the energy conversion industry by replicating the behavior of physical systems with high fidelity in real-time. This paper presents a parameters estimation approach based on the DT method applied to 3-Phase AC/DC switching converters. A Particle Swarm Optimization (PSO) algorithm is employed to estimate the characteristics of the L-type AC filter and the DC capacitance. Balanced and unbalanced situations have been tested to demonstrate the robustness and feasibility of the proposal. The results show the potential of the procedure for application in system identification and condition monitoring.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
