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Energies 2017, 10(4), 480; doi:10.3390/en10040480

Automatic J–A Model Parameter Tuning Algorithm for High Accuracy Inrush Current Simulation

School of Electric Engineering, Wuhan University, Wuhan 430072, China
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Academic Editor: Gabriele Grandi
Received: 5 February 2017 / Revised: 18 March 2017 / Accepted: 23 March 2017 / Published: 4 April 2017
(This article belongs to the Section Electrical Power and Energy System)
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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. View Full-Text
Keywords: inrush current; transformer modeling; transient simulation; J–A model; feature representation inrush current; transformer modeling; transient simulation; J–A model; feature representation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Wen, X.; Zhang, J.; Lu, H. Automatic J–A Model Parameter Tuning Algorithm for High Accuracy Inrush Current Simulation. Energies 2017, 10, 480.

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