Wide frequency domain modeling method of an OCIA based on rational function approximation

被引：0
|
作者：
Zuo H. [1 ]
Li X. [2 ]
Xu F. [1 ]
Shu Q. [1 ]
Qiu J. [3 ]
机构：
[1] College of Electrical Engineering, Sichuan University, Chengdu
[2] State Grid Sichuan Electric Power Research Institute, Chengdu
[3] Wuhan Branch, China Electric Power Research Institute, Wuhan
来源：
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2021年 / 49卷 / 09期
关键词：
DC voltage transformer (DCVT); Optically coupled isolation amplifier (OCIA); Particle swarm optimization (PSO); Rational function approximation; Wide-band frequency characteristics;
D O I：
10.19783/j.cnki.pspc.200835
中图分类号：
学科分类号：
摘要：
Many existing methods of obtaining Optically Coupled Isolation Amplifier (OCIA) frequency characteristics are based on the estimation of rated parameters. The internal component parameters change after a long period of operation, and the internal components of the transformer no longer work with the rated parameters. As a result, the frequency characteristics obtained based on the rated parameters are no longer accurate. To solve this problem, this paper proposes a new OCIA wide frequency domain modeling method without relying on OCIA parameters. The OCIA transfer function values at different frequencies are obtained by measurement, and the error function is constructed based on the rational approximation fitting principle. Then the particle swarm optimization algorithm is used to optimize the error function, and obtain the expression of the fitting transfer function. The accuracy of the algorithm is studied in different frequency sampling ranges and noise levels. Simulation and measured data verify that the proposed method has high accuracy and good anti-noise ability in the wide frequency domain. © 2021 Power System Protection and Control Press.
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页码：113 / 120
页数：7
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