Dual LiNbO3 Crystal-Based Batteryless and Contactless Optical Transient Overvoltage Sensor for Overhead Transmission Line and Substation Applications

Sima, Wenxia; Han, Rui; Sun, Shangpeng; Liu, Tong

doi:10.1109/tie.2017.2708037

Cited by 49 publications

(11 citation statements)

References 25 publications

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“…The non-contact overvoltage sensor uses the stray capacitance C 1 between the overhead transmission line and the sensor board as a high-voltage arm capacitor [15][16][17][18][19][20]. A capacitor is connected as a low-voltage arm capacitor.…”

Section: Non-contact Overvoltage Sensormentioning

confidence: 99%

Non-Contact Measurement and Polarity Discrimination-Based Identification Method for Direct Lightning Strokes

Jiang

Chen

et al. 2019

Energies

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Direct lightning strokes account for a large proportion of line faults. Lightning faults can be classified into several kinds, and the corresponding protection methods differ. The type of these lightning faults should be identified to establish targeted measures against lightning and improve lightning protection design. In this study, a non-contact multi-physical parameter lightning monitoring system is proposed. The voltage of the insulator string and the lightning grounding current of the transmission tower are chosen as two physical parameters to show the characteristic quantities of different lightning stroke types. These physical parameters are captured using a non-contact overvoltage sensor installed at the cross arm of the tower and several parallel Rogowski coils installed at the tower ground supports. An equivalent electromagnetic transient model of a 110 kV transmission line is developed to identify features of the signals under different lightning strokes. Based on time-domain and wavelet transform modulus maxima (WTMM) analyses, the polarity of insulator voltage, the polarity of tower current, and the mutation polarity of tower current when insulators flashover are extracted as characteristic quantities of polarity discrimination. Six kinds of direct lightning strokes can be identified based on the polarity discrimination method considering the lightning stroke point and the lightning current polarity. The identification method is verified by simulation data and application to an actual example.

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Section: Non-contact Overvoltage Sensormentioning

confidence: 99%

Non-Contact Measurement and Polarity Discrimination-Based Identification Method for Direct Lightning Strokes

Jiang

Chen

et al. 2019

Energies

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“…Traditional methods for contact voltage measurements for transmission lines are limited in their application due to their large size, high price, and narrow frequency domain response [ 1 , 2 , 3 ]. These methods have gradually become unsatisfactory for the requirements of an extensive network in a transmission and distribution system.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Electric Field Integral Voltage Measurement Method of Transmission Line Based on Error Transmission and Uncertainty Analysis

Fan

Guo

et al. 2021

Sensors

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Electric field numerical integration algorithms can realize the non-contact measurement of transmission line voltage effectively. Although there are many electric field numerical integration algorithms, lack of a comprehensive comparison of accuracy and stability among various algorithms results in difficulties in evaluating the measurement results of various algorithms. Therefore, this paper presents the G-L (Gauss–Legendre) algorithm, the I-G-L (improved Gauss–Legendre) algorithm, and the I-G-C (improved Gauss–Chebyshev) algorithm and proposes a unified error propagation model of the derived algorithms to assess the accuracy of each integration method by considering multiple error sources. Moreover, evaluation criteria for the uncertainty of transmission line voltage measurement are proposed to analyze the stability and reliability of these algorithms. A simulation model and experiment platform were then constructed to conduct error propagation and uncertainty analyses. The results show that the G-L algorithm had the highest accuracy and stability in the scheme with five integral nodes, for which the simulation error was 0.603% and the relative uncertainty was 2.130%. The I-G-L algorithm was more applicable due to the smaller number of integral nodes required, yet the algorithm was less stable in achieving the same accuracy as the G-L algorithm. In addition, the I-G-C algorithm was relatively less accurate and stable in voltage measurement.

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“…The solution that eliminates the above-mentioned problems is the non-contact method of measuring high voltage discussed in this article. Currently, non-contact measurement techniques are most often based on the use of a Hall effect voltage sensor [24], fiber-optic voltage sensor [25], or capacitive probe [26][27][28], the advantage of which is the simple construction and low production cost. For the first time, the concept of using a capacitive probe as a sensor for measuring high voltage was proposed by K. Walczak [29].…”

Section: Introductionmentioning

confidence: 99%

Non-Contact High Voltage Measurement in the Online Partial Discharge Monitoring System

Walczak

Sikorski

2021

Energies

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The article presents an innovative system for non-contact high voltage (HV) measurement, which extends the measurement capabilities of a portable partial discharges (PD) monitoring system intended for diagnostics of power transformers. The proposed method and the developed measuring system are based on the use of a capacitive probe, thanks to which the high voltage measurement is safe (galvanic separation from the objects at ahigh potential). It is also flexible because the voltage ratio of this system can be configured in a wide range by changing the probe’s position. The proposed solution makes the portable PD monitoring system fully autonomous and independent of the substation systems and devices. The article presents both the concept of the non-contact HV measurement system and its practical implementation. The procedure for determining the voltage ratio and measurement uncertainty, which is at an acceptable level of 1–5% in laboratory conditions, was discussed in detail. In addition, the article discusses the digital filtering and wavelet de-noising methods implemented in the software of the monitoring system, which makes it possible to measure the voltage in the presence of strong electromagnetic disturbances occurring at the substation. Finally, the results of field tests carried out on a 250 MVA power transformer are presented, which confirmed the high accuracy of the HV measurement using a capacitive probe and the advantages of this technique.

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Dual LiNbO3 Crystal-Based Batteryless and Contactless Optical Transient Overvoltage Sensor for Overhead Transmission Line and Substation Applications

Cited by 49 publications

References 25 publications

Non-Contact Measurement and Polarity Discrimination-Based Identification Method for Direct Lightning Strokes

Non-Contact Measurement and Polarity Discrimination-Based Identification Method for Direct Lightning Strokes

Evaluation of Electric Field Integral Voltage Measurement Method of Transmission Line Based on Error Transmission and Uncertainty Analysis

Non-Contact High Voltage Measurement in the Online Partial Discharge Monitoring System

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