Parameter identification of transformer based on PSO algorithm

被引:0
|
作者
Ouyang, Fan [1 ]
Liu, Yongqiang [1 ]
Liang, Zhaowen [1 ]
Qiu, Zitian [1 ]
Yuan, Bo [1 ]
机构
[1] South China Univ Technol, Sch Elect Power, Guangzhou 510640, Guangdong, Peoples R China
关键词
transformer; parameter identification; PPNGA; model reference adaptive; fault diagnosis;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This paper presents a method to identify T-equivalent parameters of transformer using its port data. In order to use the port information of the transformer to determine the internal fault of the transformer, according to the model reference adaptive principle, the recognition model and the adjustment model of the transformer are constructed. The fitness function is composed of the response output of the two models, and PSO algorithm is used to identify its parameters of equivalent circuit. Firstly, the simulation platform is built in MATLAB/Simulink to iterate two times. The excitation parameters identified by the first iteration are given as the known quantity, and the second iteration can identify the leakage impedance parameters of the high and low voltage side of the equivalent circuit. Then, the feasibility of the algorithm is verified on the experimental platform.
引用
收藏
页码:3864 / 3870
页数:7
相关论文
共 50 条
  • [41] Adaptive PSO-SO algorithm with Sobol sequence for aerodynamic physical parameter identification of projectiles
    Yang, Baolu
    Wang, Liang-ming
    Fu, Jian
    AIP ADVANCES, 2024, 14 (10)
  • [42] Efforts on Real-Time Implementation of PSO based PMSM Parameter Identification
    Liu, Wenxin
    Liu, Li
    Cartes, David A.
    2008 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, VOLS 1-11, 2008, : 1992 - +
  • [43] Parameter Identification of Transformer Insulation Based on Frequency Domain Spectrum Method
    Zhang, Tao
    Lv, Hao Yun
    Li, Dong Hui
    Zhang, Yin
    2013 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices (ASEMD), 2013, : 347 - 348
  • [44] A novel current transformer saturation detecting method based on parameter identification
    Deng, Xu-Yang
    Suonan, Jia-Le
    Li, Guang
    Song, Guo-Bing
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2011, 39 (18): : 38 - 43
  • [45] Parameter Identification of the Transformer Winding based on Least-Squares Method
    Jin, E. S.
    Liu, L. L.
    Bo, Z. Q.
    Klimek, A.
    2008 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, VOLS 1-11, 2008, : 2144 - +
  • [46] Maneuverability parameter identification of a water-jet USV based on truncated weighted LSSVM integrated with adaptive mutation PSO algorithm
    Dong, Zaopeng
    Ding, Yilun
    Liu, Wangsheng
    Hu, Zhihao
    Lu, Sihang
    Liu, Yuanchang
    OCEAN ENGINEERING, 2025, 321
  • [47] Model identification of combined desulfurization system based on improved PSO algorithm
    Bai, Jianyun
    Qu, Yan
    Yin, Jiang
    Fan, Changhao
    THIRD INTERNATIONAL CONFERENCE ON ENERGY ENGINEERING AND ENVIRONMENTAL PROTECTION, 2019, 227
  • [48] Identification Method of Vehicle Key Performance Parameters based on PSO Algorithm
    Liu Q.
    Feng L.
    Guo J.
    International Journal of Vehicle Structures and Systems, 2023, 15 (03) : 380 - 386
  • [49] A dynamic clustering algorithm based on PSO and its application in fuzzy identification
    Zhang Dingxue
    Liu Xinzhi
    Guan Zhihong
    IIH-MSP: 2006 INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATION HIDING AND MULTIMEDIA SIGNAL PROCESSING, PROCEEDINGS, 2006, : 232 - +
  • [50] Research on Fault Identification of Sewage treatment based on PSO Clustering Algorithm
    Li, Ruini
    Wang, Xiaoyi
    Liu, Zaiwen
    Xu, Jiping
    Wang, Lingbin
    ADVANCES IN ENVIRONMENTAL ENGINEERING, 2012, 599 : 622 - 627