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IJEETC 2024 Vol.13(6): 503-509
doi: 10.18178/ijeetc.13.6.503-509

Analysis of Data-Driven Modeling of Cycloconverters for Efficient Electromagnetic Transient Simulations of Electrified Ship Propulsion Systems

Seyyedmilad Ebrahimi* and Juri Jatskevich
Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, Canada
Email: ebrahimi@ece.ubc.ca (S.E.), jurij@ece.ubc.ca (J.J.)
*Corresponding author

Manuscript received March 26, 2024; revised May 20, 2024; accepted July 10, 2024.

Abstract—Simulation studies of modern electrified ship propulsion systems using the discrete switching models of cycloconverters are very time-consuming and require expertise and accuracy in modeling all the details of the ship’s electric power system. Alternatively, data-driven models of cycloconverter-based Variable-Frequency-Drive (VFD) systems are proposed, which may simplify the modeling and improve simulation efficiency and speed. The data-driven models can be established based on several measurements or a few runs of the detailed simulations, but their subsequent use enables very fast and efficient systemlevel studies. In this paper, the data-driven models of cycloconverter-based VFDs are analyzed in terms of their accuracy and numerical efficiency with respect to their detailed switching model counterparts for harmonic studies of an example ship propulsion system. The advantages and drawbacks of both modeling techniques are demonstrated through time-domain and frequency-domain electromagnetic transient simulations conducted in MATLAB/Simulink using the Simscape Electrical toolbox.

 
Index Terms—Cycloconverter, data-driven, modeling, ship propulsion, simulation, switching

Cite: Seyyedmilad Ebrahimi and Juri Jatskevich, "Analysis of Data-Driven Modeling of Cycloconverters for Efficient Electromagnetic Transient Simulations of Electrified Ship Propulsion Systems," International Journal of Electrical and Electronic Engineering & Telecommunications, Vol. 13, No. 6, pp. 503-509, 2024. doi: 10.18178/ijeetc.13.6.503-509

Copyright © 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.