Research on Electronic Voltage Transformer for Big Data Background

Li, Zhenhua; Wang, Yao; Wu, Zheng-Tian; Liu, Zhenxing

doi:10.3390/sym10070234

Cited by 8 publications

(3 citation statements)

References 18 publications

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“…e Capacitor Voltage Transformer (CVT) has high dielectric strength, fast transient response, wide dynamic range, low power consumption, and nonferromagnetic resonance with power systems. It also can reduce the head steepness of lightning shock and be used as a coupling capacitor for the power carrier communication [1][2][3][4]. us, it is widely applied in power systems from 35 to 1000 kV.…”

Section: Introductionmentioning

confidence: 99%

Studying the Effect of Stray Capacitance on the Measurement Accuracy of the CVT Based on the Boundary Element Method

et al. 2021

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The capacitive voltage transformer (CVT) is a special measuring and protecting device, which is commonly applied in high-voltage power systems. Its measurement accuracy is affected seriously by the stray capacitances of the capacitance voltage divider (CVD) to ground and other charged parts. In this study, based on the boundary element method, a mathematical model was established firstly to calculate the stray capacitance. Then, the voltage distribution of the CVD was obtained by the CVD’s equivalent circuit model. Next, the effect of stray capacitance on the voltage distribution and the voltage difference ratio (VDR) of CVD was analysed in detail. We finally designed three types of shield and optimized their structure parameters to reduce VDR. The results indicated that the average deviation rate between calculated and experimental measured voltages is only 0.015%; that is to say, the method has high calculation precision. The stray capacitance of the CVD to ground is far larger than that of the CVD to the high-voltage terminal. It results in the inhomogeneous distribution of voltage and the increase of VDR. For the test CVT, its VDR exceeds the requirement of class 0.2. Among all of the three types of shield, the C type reduced the VDR of the test CVT the most. After optimizing the structure parameters of C-type shield, the VDR is further reduced to 0.08%. It is not only in accord with the requirement of class 0.2 but also has an adequate margin.

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Section: Introductionmentioning

confidence: 99%

Studying the Effect of Stray Capacitance on the Measurement Accuracy of the CVT Based on the Boundary Element Method

et al. 2021

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“…The capacitor voltage transformers (CVTs) have already been the most widely used voltage transformer in the high voltage (HV) and ultra-high voltage (UHV) power system [1][2][3] . The internal structure of CVTs is much more complicated compared with the conventional electromagnetic potential transformers (PTs), which leads to worse long-term stability and susceptibility to external electromagnetic interference 4,5 . Besides, the insulation of CVTs is prone to be aged after long-term operation, and the over voltage in the power system and the partial discharge in the CVT may cause irreversible damage to the insulation of CVTs 6 .…”

Section: Introductionmentioning

confidence: 99%

Internal insulation condition identification for high-voltage capacitor voltage transformers based on possibilistic fuzzy clustering

Zhan

Chen

et al. 2020

Review of Scientific Instruments

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The internal insulation condition of capacitor voltage transformers (CVTs) is a key influence factor to its measurement performance and safe operation, but the internal insulation would be aged along with long-time operation and degraded influenced by environmental factors, once the insulation degradation grows, serious damages and even explosion may happen to CVTs, so it is necessary to monitor the internal insulation condition of CVTs, and the fault type and fault degree need to be identified. In this paper, a data-driven internal insulation condition identification method for CVTs is proposed. Both the amplitude and phase of the output voltage of CVTs are collected, then recognition models based on the combination of the output voltages and distribution topology of CVTs in substations are built, a possibilistic fuzzy clustering method is used to monitor the internal insulation condition of CVTs, different type and different degree of insulation faults could be identified effectively. Finally, the proposed method is verified by several cases, not only the preset typical faults in the method can be identified effectively, but also the faults beyond the preset faults could be diagnosed.

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“…This special issue of Symmetry entitled "Emerging Approaches and Advances in Big Data" consists of 17 papers [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17] that all present research in the emerging area of Big Data.…”

mentioning

confidence: 99%