Modeling of electrical and thermal modes of traction transformers
https://doi.org/10.46973/0201-727X_2024_2_73
Abstract
The paper considers the concept of cyber-physical power supply systems. It is shown that the core of the virtual segment of such a system should form digital models for calculating normal and emergency modes, heating of current-carrying parts and traction transformers, determining power quality indicators based on voltage deviations, levels of asymmetry and harmonic distortion. A comprehensive methodology is proposed that makes it possible to implement seamless computer technologies that provide determination of electrical and thermal conditions of traction transformers. Based on digital modeling, it is shown that the modeling methods and algorithms developed at the Irkutsk State Transport University allow one to calculate the electrical and thermal conditions of traction transformers. On this basis, computer technologies of the information and computing segment of the cyber-physical traction power supply system can be implemented.
About the Authors
A. V. Kryukov
Irkutsk State Transport University (ISTU); Irkutsk National Research Technical University (INRTU)
Russian Federation
Russian Federation
Kryukov Andrey Vasilievich, Chair «Electric Power Engineering of Transport»; Chair «Electrical Supply and Electrical Engineering», Doctor of Engineering Sciences, Professor
A. V. Cherepanov
Irkutsk State Transport University (ISTU)
Russian Federation
Russian Federation
Cherepanov Aleksander Valerievich, Chair «Electric Power Engineering of Transport», Candidate of Engineering Sciences, Associate Professor
A. E. Kryukov
Irkutsk National Research Technical University (INRTU)
Russian Federation
Russian Federation
Kryukov Alexander Egorovich, Chair «Electric Power Plants»
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Review
For citations:
Kryukov A.V., Cherepanov A.V., Kryukov A.E. Modeling of electrical and thermal modes of traction transformers. Vestnik Rostovskogo Gosudarstvennogo Universiteta Putej Soobshcheniya. 2024;(2):73–81. (In Russ.) https://doi.org/10.46973/0201-727X_2024_2_73
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