Electric Power ›› 2021, Vol. 54 ›› Issue (7): 109-116.DOI: 10.11930/j.issn.1004-9649.201908012

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An Improved Method for J-A Hysteresis Parameter Identification of Current Transformer Core

ZHOU Shihao, PAN Benren, WAN Yong, WANG Guannan, ZHANG Yan, GUI Xiaozhi   

  1. Electric Power Research Institute of Jiangxi Power Grid Co., Ltd., Nanchang 330096, China
  • Received:2019-08-01 Revised:2020-01-04 Published:2021-07-12
  • Supported by:
    This work is supported by the Science and Technology Project of SGCC (No.521820180017)

Abstract: To simulate the dynamic magnetization process of the current transformer core, an accurate hysteresis model needs to be established. The improved J-A hysteresis model can simulate the hysteresis characteristics of core more accurately. In this paper, an improved J-A hysteresis model parameter identification method for current transformer based on fireworks algorithm is proposed to determine the key parameter of the improved J-A hysteresis model. Firstly, the modified J-A model is established, and then the parameter identification model is constructed. The sum of the absolute error between the obtained magnetic induction and the known magnetic induction are taken as the objective function, and the model parameters are introduced into the fireworks algorithm as variables. When a new spark is generated, the check of whether the spark meets the constraints is added. Finally, the hysteresis curves of P-type and PR-type current transformers are identified by the proposed method. The results show that the obtained hysteresis curve has a small deviation from the actual curve. The added spark check link can reduce the number of iterations required for algorithm convergence. The effectiveness and adaptability of the proposed method has been verified by simulation results.

Key words: current transformer, modified J-A mode, hysteresis curve, fireworks algorithm, parameter identification