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

Han Lian

doi:10.20965/jaciii.2019.p0385

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JACIII Vol.23 No.3 pp. 385-389

doi: 10.20965/jaciii.2019.p0385

(2019)

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

Han Lian

School of Electronic Information Engineering, Henan Polytechnic Institute
Nanyang, Henan 473009, China

Received:

June 14, 2018

Accepted:

July 13, 2018

Published:

May 20, 2019

Keywords:

L-M algorithm, electronic voltage transformer, transfer function model, overvoltage amplitude, degenerative feedback

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.

Comparison of robustness of algorithms

Cite this article as:

H. Lian, “The State Monitoring Method of Electronic Voltage Transformer Based on L-M Algorithm,” J. Adv. Comput. Intell. Intell. Inform., Vol.23 No.3, pp. 385-389, 2019.

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References

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[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.
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This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.

[1] [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] [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] [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] [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] [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.

[6] [6] S. Panja, S. De, S. Yadav, et al., “Note: Measuring capacitance and inductance of a helical resonator and improving its quality factor by mutual inductance alteration,” Review of Scientific Instruments, Vol.86, No.5, pp. 4091-4958, 2015.

[7] [7] G. Yang, X. Deng, and C. Liu, “Facial expression recognition model based on deep spatiotemporal convolutional neural networks,” Zhongnan Daxue Xuebao (Ziran Kexue Ban)/J. of Central South University (Science and Technology), Vol.47, No.7, pp. 2311-2319, 2016.

[8] [8] P. Gonzalez-Vizuete, F. Fico, A. Fernandez-Prieto, et al., “Calculation of Parasitic Self- and Mutual-Inductances of Thin-Film Capacitors for Power Line Filters,” IEEE Trans. on Power Electronics, Vol.34, Issue 1, pp. 236-246, 2018.

[9] [9] R. Iqbal, “Safe Farming: Development of a Prevention System to Mitigate Vertebrates Crop Raiding,” J. Adv. Comput. Intell. Intell. Inform., Vol.22, No.3, pp. 351-358, 2018.

[10] [10] K. Ogata and K. Wada, “Implementation of Gate Driver Circuit for Suppressing Both Surge Voltage and Switching Loss by Using Mutual Inductance,” IEEJ Trans. on Industry Applications, Vol.138, No.2, pp. 135-140, 2018.

[11] [11] V. M. Gevorkyan and K. V. Krayushkin, “Algorithm for Monitoring the State of Insulation in Voltage Measurement Transformers in the Generator Voltage Circuit of Power Plants,” Measurement Techniques, Vol.60, No.3, pp. 1-7, 2017.

[12] [12] L. Chen, X. U. Qifeng, N. Xie, et al., “New Method for Improving Internal Electric Field Distribution of Longitudinal Modulation Optical Voltage Transformer,” Automation of Electric Power Systems, Vol.41, No.4, pp. 158-162, 2017.

[13] [13] E. Wang, Z. Zhao, M. Cao, et al., “Multi Point Temperature Monitoring of Oil Immersed Transformer Based on Fiber Bragg Grating,” High Voltage Engineering, Vol.43, No.5, pp. 1543-1549, 2017.

[14] [14] M. Tajdinian, M. Allahbakhshi, A. R. Seifi, et al., “Analytical discrete Fourier transformer-based phasor estimation method for reducing transient impact of capacitor voltage transformer,” IET Generation Transmission & Distribution, Vol.11, No.9, pp. 2324-2332, 2017.

[15] [15] M. Faifer, C. Laurano, R. Ottoboni, et al., “Characterization of Voltage Instrument Transformers Under Nonsinusoidal Conditions Based on the Best Linear Approximation,” IEEE Trans. on Instrumentation & Measurement, Vol.67, Issue 10, pp. 1-9, 2018.