Analysis of DC bias characteristics of transformer by using fixed-point time-step FEM and dynamic J–A hysteresis model

Author:

Wang Yaqi1ORCID,Li Lin1ORCID,Zhao Xiaojun2ORCID,Sun Jia’an3ORCID

Affiliation:

1. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University 1 , Beijing 102206, China

2. Hebei Provincial Key Laboratory of Power Transmission Equipment Security Defense, North China Electric Power University 2 , Baoding 071003, China

3. State Key Laboratory of Power Grid Safety and Energy Conservation, China Electric Power Research Institute 3 , Beijing 100192, China

Abstract

The injection of the Direct Current (DC) bias component will lead to oversaturation of the transformer core and affect its safe operation. In this paper, the vector magnetic potential A and winding current I are used as the variables solved in the time-step finite element method to simulate the nonlinear transient magnetization characteristics of the transformer under DC bias, and the fixed-point reluctivity is introduced to deal with the nonlinear iterative problem. The field-circuit coupling relationship is established through the electromagnetic induction law, and the two-dimensional time-step finite element model of the transformer core is found. The dynamic J–A hysteresis model is used to deal with the hysteresis effect of iron cores. The fixed-point reluctivity of difference form is introduced to solve the problem of uneven transition and multi-value of magnetization curve with hysteresis in the iterative process. The determination scheme for the equivalent thickness of the core model and the initial iterative value are discussed. A laminated core transformer is made for experiments, and the accuracy and applicability of the model proposed in this paper are verified by comparing the calculation and experimental results. The influence of different voltages and different DC bias components on the electromagnetic characteristics of the transformer is analyzed.

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

AIP Publishing

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