Abstract
Inrush current simulation plays an important role in many tasks of the power system, such as power transformer protection. However, the accuracy of the inrush current simulation can hardly be ensured. In this paper, a Jiles–Atherton (J–A) theory based model is proposed to simulate the inrush current of power transformers. The characteristics of the inrush current curve are analyzed and results show that the entire inrush current curve can be well featured by the crest value of the first two cycles. With comprehensive consideration of both of the features of the inrush current curve and the J–A parameters, an automatic J–A parameter estimation algorithm is proposed. The proposed algorithm can obtain more reasonable J–A parameters, which improve the accuracy of simulation. Experimental results have verified the efficiency of the proposed algorithm.
Highlights
Power transformers are the most expensive and vital components in electrical power system networks
The first crest difference is reduced to 1.1% from the original 45%, which indicates that the modified J–A parameters can generate much more accurate inrush current than the original J–A parameters
It is observed that the inrush current exhibits different sensitivities to different J–A parameters
Summary
Power transformers are the most expensive and vital components in electrical power system networks. They are adopted into a variety of configurations and can be switched ON occasionally or frequently. Inrush current [1,2,3] is generated during the energization of a transformer. It is featured by its large magnitude and rich harmonics. Inrush current is caused by the saturation of the iron core [4,5]. Due to the hysteresis characteristic [6,7,8] of the iron core, the transformer can enter severe saturation conditions. Inrush current can cause undesirable effects to the power transformer or even the entire power system, such as maloperation of relay, mechanical stress on windings, noise, reduced power quality, etc
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