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Harmonic and DC Bias Hysteresis Characteristics Simulation Based on an Improved Preisach Model.
Zhang, Changgeng; Li, Haoran; Tian, Yakun; Li, Yongjian; Yang, Qingxin.
Afiliación
  • Zhang C; State Key Laboratory of Reliability and Inteligence of Electrical Equipment School of Electrical Engineering, Hebei University of Technology, Tianjin 300130, China.
  • Li H; Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability of Hebei Province, Hebei University of Technology, Tianjin 300130, China.
  • Tian Y; State Key Laboratory of Reliability and Inteligence of Electrical Equipment School of Electrical Engineering, Hebei University of Technology, Tianjin 300130, China.
  • Li Y; Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability of Hebei Province, Hebei University of Technology, Tianjin 300130, China.
  • Yang Q; State Grid Zhoukou Electric Power Supply Company, Zhoukou 477150, China.
Materials (Basel) ; 16(12)2023 Jun 14.
Article en En | MEDLINE | ID: mdl-37374569
ABSTRACT
Transformers, reactors and other electrical equipment often work under harmonics and DC-bias working conditions. It is necessary to quickly and accurately simulate the hysteresis characteristics of soft magnetic materials under various excitation conditions in order to achieve accurate calculations of core loss and the optimal design of electrical equipment. Based on Preisach hysteresis model, a parameter identification method for asymmetric hysteresis loop simulation is designed and applied to the simulation of hysteresis characteristics under bias conditions of oriented silicon steel sheets. In this paper, the limiting hysteresis loops of oriented silicon steel sheets are obtained through experiments under different working conditions. The first-order reversal curves(FORCs) with asymmetric characteristics is generated numerically, and then the Everett function is established under different DC bias conditions. The hysteresis characteristics of the oriented silicon steel sheets under harmonics and DC bias are simulated by improving FORCs identification method of the Preisach model. By comparing the results of simulation and experiment, the effectiveness of the proposed method is verified, so as to provide an important reference for material production and application.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Materials (Basel) Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Materials (Basel) Año: 2023 Tipo del documento: Article País de afiliación: China