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
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