Magnetizing inrush model of transformers based on structure parameters

被引:32
|
作者
Chen, SD [1 ]
Lin, RL
Cheng, CK
机构
[1] Chinese Naval Acad, Dept Elect Engn, Kaohsiung 813, Taiwan
[2] Natl Cheng Kung Univ, Dept Elect Engn, Tainan 701, Taiwan
关键词
inrush current; inrush equivalent inductance; magnetizing inrush model; transformer;
D O I
10.1109/TPWRD.2005.848671
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper proposes a circuit model for the transient period of inrush current in a transformer. The magnetizing inrush model is developed from the structural parameters of the transformer. In the analysis of the magnetization curve, the relationship between the magnetic flux density and magnetic field intensity differs from the ordinary B-H curve; this paper interchanges the B and the H and characterizes the B-H of the magnetic core as a simple tangent function in the H-B planes. Furthermore, the concept of inrush equivalent inductance [1] is also used in the magnetizing inrush model. Using the magnetizing inrush model, an inrush current value can be estimated before the transformer is manufactured. Moreover, in the future, this model can provide the power system with a more thorough transient analysis. During this research, the inrush currents are simulated using the circuit model from ICAP/4. Fourteen actual transformers, each with a different winding structure, are used for demonstration. Experiments and simulations are carried out to examine the proposed method.
引用
收藏
页码:1947 / 1954
页数:8
相关论文
共 50 条
  • [21] Power differential method for discrimination between fault and magnetizing inrush current in transformers
    Yabe, K
    IEEE TRANSACTIONS ON POWER DELIVERY, 1997, 12 (03) : 1109 - 1118
  • [22] DIGITAL-SIMULATION OF MAGNETIZING INRUSH CURRENTS IN 3-PHASE TRANSFORMERS
    RAHMAN, MA
    GANGOPADHYAY, A
    IEEE TRANSACTIONS ON POWER DELIVERY, 1986, 1 (04) : 235 - 242
  • [23] Preventing maloperation scheme for saturation protection of converter transformers based on waveform prediction of magnetizing inrush current
    Ge, Yaming
    Zheng, Junchao
    Ren, Xuchao
    Chen, Shi
    Kong, Xiangping
    Wang, Chenqing
    ELECTRICAL ENGINEERING, 2024, : 3025 - 3038
  • [24] A novel image-based approach for discrimination between internal faults and magnetizing inrush currents in power transformers
    El-Naggar, M. F.
    Hamdy, A. M.
    Moussa, S. M.
    El-Din, E. H. Shehab
    2007 AUSTRALASIAN UNIVERSITIES POWER ENGINEERING, VOLS 1-2, 2007, : 243 - 248
  • [25] A novel wavelet-based algorithm for discrimination of internal faults from magnetizing inrush currents in power transformers
    Faiz, Jawad
    Lotfi-Fard, S.
    IEEE TRANSACTIONS ON POWER DELIVERY, 2006, 21 (04) : 1989 - 1996
  • [26] An Auto-correlation Function Based Technique for Discrimination of Internal Fault and Magnetizing Inrush Current in Power Transformers
    Samet, Haidar
    Ghanbari, Teymoor
    Ahmadi, Mohammad
    ELECTRIC POWER COMPONENTS AND SYSTEMS, 2015, 43 (04) : 399 - 411
  • [27] Features and mechanism of negative-sequence second harmonics of magnetizing inrush current in transformers
    Jiao, Zaibin
    Xing, Wu
    Wang, Zhao
    Jin, Jiliang
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2015, 39 (11): : 146 - 151
  • [28] Magnetizing inrush identification based on differential current characteristics
    School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, China
    Dianli Zidonghua Shebei / Electric Power Automation Equipment, 2007, 27 (09): : 51 - 54
  • [29] Distinguishing magnetizing inrush based on characteristic of excitation inductance
    Kang, Xiaoning
    He, Lu
    Jiao, Zaibin
    Suonan, Jiale
    Wang, Guilin
    Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 2007, 41 (10): : 1214 - 1218
  • [30] Novel Method for Discrimination of Transformers Faults from Magnetizing Inrush Currents Using Wavelet Transform
    Babaei, Zahra
    Moradi, Mohamad
    IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF ELECTRICAL ENGINEERING, 2021, 45 (03) : 803 - 813