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Regular Paper | Open Access

Low-frequency Stability Analysis of Power Electronic Traction Transformer Based Train-network System

Yi Hong1Yang Li2()Zhikang Shuai2Hanyu Yang3
College of Electrical and Information Engineering, Hunan University and the Advanced Energy Technology Center of State Grid Shanghai Energy Interconnection Research Institute Co., Ltd., Shanghai 201203, China
College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
College of Electrical Engineering and Controal Science in Nanjing Tech University, Nanjing 211816, China
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Abstract

Power electronic traction transformers (PETTs) will be increasingly applied to locomotives in the future for their small volume and light weight. However, similar to conventional trains, PETTs behave as constant power loads and may cause low-frequency oscillation (LFO) to the train-network system. To solve this issue, a mathematical model of the PETT is firstly proposed and verified based on the extended describing function (EDF) method in this paper. In the proposed model, the LLC converter is simplified to an equivalent circuit consisting of a capacitor and a resistor in parallel. It is further demonstrated that the model can apply to various LLC converters with different topologies and controls. Particularly, when the parameter differences between cells are not obvious, the PETT can be simplified to a single-phase rectifier (i.e., conventional train) by equivalent transformation. Based on the model of PETT, the system low-frequency stability and influential factors are analyzed by using the generalized Nyquist criterion. Lastly, the correctness and accuracy of theoretical analyses are validated by off-line and hardware-in-the-loop simulation results.

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CSEE Journal of Power and Energy Systems
Pages 1608-1617
Cite this article:
Hong Y, Li Y, Shuai Z, et al. Low-frequency Stability Analysis of Power Electronic Traction Transformer Based Train-network System. CSEE Journal of Power and Energy Systems, 2024, 10(4): 1608-1617. https://doi.org/10.17775/CSEEJPES.2021.05000
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