基于增广动态相量法的变压器励磁涌流频率自适应仿真

doi:10.19595/j.cnki.1000-6753.tces.211076

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Abstract The overshoot problem can be avoided by adopting small time step in electromagnetic simulations, and the inrush current of a large capacity transformer usually decays very slowly which will certainly results in low simulation efficiency. In this paper, an augmented dynamic phasor multi-timescale electromagnetic transient model was established for large-capacity transformer with nonlinear excitation branch, and a dynamic phasor flux prediction method was utilized. The current can be accurately predicted and simulated, which solves the overshoot problem of piecewise linearization under large time steps, and large time steps can be adopted without sacrificing more current harmonic components. When the inrush current occurred, a small-time step was adopted to predict the flux linkage, then magnetizing inrush current was obtained by current-flux curve fitting function. When the flux linkage spectrum was detected concentrated near the fundamental frequency, the flux linkage waveform will maintain its sinusoidal characteristics then a large time step can be adopted without sacrifice of simulation accuracy. In this way, the accurate inrush current was simulated utilizing current-flux curve fitting function, and the overshoot problem was solved using large step size to accelerate the simulation speed. Finally, the simulation results verified the correctness of the proposed transformer model and dynamic phasor prediction method.

Key words： Dynamic phasor prediction method inrush current nonlinear overshoot

Received: 12 July 2021

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TM743

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	Articles by authors
	Gong Zhen
	Liu Chengxi
	Yao Liangzhong
	Yang Bo
	Zhuang Jun
	Huang Xiaohui

Cite this article:

Gong Zhen,Liu Chengxi,Yao Liangzhong等. Frequency Adaptive Simulation of Transformer Inrush Current Based on the Augmented Dynamic Phasor Method[J]. Transactions of China Electrotechnical Society, 2022, 37(15): 3805-3817.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.211076 OR https://dgjsxb.ces-transaction.com/EN/Y2022/V37/I15/3805

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