The State Monitoring Method of Electronic Voltage Transformer Based on L-M Algorithm

Author:

Lian Han,

Abstract

In the traditional method of monitoring the state of electronic voltage transformer, there are problems of large monitoring error and weak robustness. Therefore, a new state monitoring method of electronic voltage transformer based on L-M algorithm is proposed. The relationship between input voltage and output voltage of capacitor voltage divider in electronic voltage transformer is obtained by using Laplasse transform. The transfer function model of electronic voltage transformer is constructed based on the relationship result and L-M algorithm. The transfer function model is used to analyze the frequency characteristics of the electronic voltage transformer and the range of normal measurement frequency, and then the partial pressure ratio of the electronic voltage transformer under the high frequency condition is derived. On this basis, by calculating the over voltage amplitude on the two sides of acquisition card in the electronic voltage transformer, the capacitance value between the two adjacent coaxial cylindrical cylinders of the capacitance divider in the electronic voltage transformer is obtained, thus the monitoring of the state of the electronic voltage transformer is completed. The experimental results show that the proposed method has low detection error and strong robustness, and can effectively improve the reliability of electronic voltage transformer.

Publisher

Fuji Technology Press Ltd.

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Human-Computer Interaction

Reference15 articles.

1. J. Yin, D. Lin, T. Parisini, et al., “Front-End Monitoring of the Mutual Inductance and Load Resistance in a Series–Series Compensated Wireless Power Transfer System,” IEEE Trans. on Power Electronics, Vol.31, Issue 10, pp. 7339-7352, 2016.

2. W. G. Hurley, M. C. Duffy, J. Zhang, et al., “A Unified Approach to the Calculation of Self- and Mutual-Inductance for Coaxial Coils in Air,” IEEE Trans. on Power Electronics, Vol.30, Issue 11, pp. 6155-6162, 2015.

3. J. Yin, D. Lin, T. Parisini, et al., “Front-End Monitoring of the Mutual Inductance and Load Resistance in a Series–Series Compensated Wireless Power Transfer System,” IEEE Trans. on Power Electronics, Vol.31, Issue 10, pp. 7339-7352, 2016.

4. W. Wang and E. Zheng, “Permanent Magnet Synchronous Motor Current Dynamic Characteristic Optimization Control Simulation,” Computer Simulation, Vol.33, No.11, pp. 379-383, 2016.

5. L. Dong, L. F. Wang, and Q. A. Huang, “Implementation of Multiparameter Monitoring by an LC-Type Passive Wireless Sensor Through Specific Winding Stacked Inductors,” IEEE Internet of Things J., Vol.2, No.2, pp. 168-174, 2015.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3