Real-Time Monitoring of the Vacuum Degree Based on the Partial Discharge and an Insulation Supplement Design for a Distribution Class Vacuum Interrupter

Bang, Seungmin; Lee, Hyun–Woo; Lee, Bang-Wook

doi:10.3390/en14237891

Cited by 5 publications

(4 citation statements)

References 15 publications

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“…Even if the local neurons in the BP neural network are damaged, the learning results will not be significantly affected. From the perspective of stability, the BP neural network is highly fault-tolerant and can support continuous real-time processing of false data generated from underground oil and gas pipelines (Bang et al, 2021). The combined application of this series of methods and technologies is expected to effectively ensure the safety and reliability of underground oil and gas pipeline operations.…”

Section: Background Of the Studymentioning

confidence: 99%

OPC UA Application Study in Oil and Gas Pipeline Network Monitoring Data Forwarding

Mao,

Qi,

et al. 2024

EAI Endorsed Trans Energy Web

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INTRODUCTION： With the continuous development of oil and gas pipeline network monitoring and control technology, the need for data transmission and communication is becoming more and more prominent. In this context, OPC UA has attracted wide attention. This study aims to explore the application of OPC UA in data forwarding for oil and gas pipeline network monitoring in order to improve the efficiency, reliability and security of data transmission.PURPOSE: The purpose of this study is to evaluate the applicability of OPC UA in oil and gas pipeline network monitoring and to verify its performance in data forwarding through empirical studies. By gaining an in-depth understanding of the characteristics of OPC UA, it aims to provide a more advanced and efficient monitoring data transfer solution for the oil and gas industry.METHOD: The study adopts a combination of field monitoring and laboratory simulation. First, the essential characteristics and requirements of monitoring data in oil and gas pipeline networks were collected. Subsequently, a monitoring system with OPC UA as the communication protocol was established and field tested. In the laboratory environment, data transmission scenarios under different working conditions were simulated, and the performance of OPC UA under different conditions was analyzed.RESULT: The field monitoring results show that the data transmission efficiency is significantly improved by using OPC UA as the communication protocol for data forwarding in oil and gas pipeline network monitoring. Meanwhile, the system performs well in different environments with high reliability and security. The laboratory simulation results further verify the stability and adaptability of OPC UA under complex working conditions.CONCLUSION: OPC UA is an effective communication protocol that can meet the data transmission requirements for oil and gas pipeline network monitoring. Its efficient, reliable, and secure characteristics make it an ideal choice for improving the communication performance of monitoring systems in the oil and gas industry. The empirical results of this study provide reliable technical support for the oil and gas industry in the field of data transmission and a vital reference for the optimization and upgrading of monitoring systems in the future.

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Section: Background Of the Studymentioning

confidence: 99%

OPC UA Application Study in Oil and Gas Pipeline Network Monitoring Data Forwarding

Mao,

Qi,

et al. 2024

EAI Endorsed Trans Energy Web

View full text Add to dashboard Cite

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“…Fig. 7 shows the equivalent circuit on the structure when coupling capacitor is directly installed in VI [14]. As shown in Fig.…”

Section: Capacity Calculation and Installiation Of The Coupling Capat...mentioning

confidence: 99%

“…To improve the accuracy of the signal detection of partial discharge, it is very important to install C c which has a larger capacity than C a , into VI. The equation for calculating C a is expressed in (5) [14].…”

Section: Capacity Calculation and Installiation Of The Coupling Capat...mentioning

confidence: 99%

“…At this time, the calibration of the partial discharge measurement system was performed before the experiment, and the back noise was set to 1 pC. An AC voltage of 13.2 kV with 60 Hz was continuously applied for the phase voltage of 22.9 kV, because the distribution class voltage in the Republic of Korea is 13.2 kV [14], [16]. The vacuum degree inside the VI was gradually decreased to 10 −2 torr, and the partial discharge was measured.…”

Section: Ac and DC Partial Discharge Characteristics According To The...mentioning

confidence: 99%

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Comparison of AC and DC Partial Discharge by Monitoring of Vacuum Degree in a Distribution Class Vacuum Interrupter

Bang

Lee

2022

IEEE Access

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The vacuum degree of Vacuum Interrupter (VI) will deteriorate because of gases emitted by arc heat, and leakage through the joints. It is important to select an appropriate maintenance criteria for a VI by monitoring the vacuum degree. However, monitoring of a VI installed inside a solid insulation apparatus in a transmission system is impossible. Only studies on the insulation deterioration because of the decrease of the vacuum degree have been conducted, and important factors such as the maintenance criteria have not been investigated. Moreover, most studies have only been performed using AC voltage, not DC voltage. Therefore, in this paper, AC and DC partial discharge were compared by monitoring of the vacuum degree in a distribution class VI to propose maintenance criteria according to voltage type. Through this, for efficient maintenance, maintenance criteria of VI for each voltage type are presented. The vacuum degree at which the dielectric strength rapidly decreases was confirmed according to voltage type. The coupling capacitor was installed directly on the floating shield of VI. Moreover, to measure the pattern and apparent charge of partial discharge according to the vacuum degree, phase resolved partial discharge (PRPD) for AC partial discharge and pulse sequence analysis (PSA) for DC partial discharge were adopted. It is found that maintenance should be performed when the vacuum degree is in the range of 10 −3 ∼ 10 −2 torr regardless of the voltage type. Moreover, the usefulness of the technology is higher at AC voltage than at DC voltage.

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Vacuum Degree Prediction Technology of Vacuum Interrupter through AC / DC Partial Discharge Measurement

Bang¹,

Lee²,

Lee³

2022

2022 IEEE 4th International Conference on Dielectrics (ICD)

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Real-Time Monitoring of the Vacuum Degree Based on the Partial Discharge and an Insulation Supplement Design for a Distribution Class Vacuum Interrupter

Cited by 5 publications

References 15 publications

OPC UA Application Study in Oil and Gas Pipeline Network Monitoring Data Forwarding

OPC UA Application Study in Oil and Gas Pipeline Network Monitoring Data Forwarding

Comparison of AC and DC Partial Discharge by Monitoring of Vacuum Degree in a Distribution Class Vacuum Interrupter

Vacuum Degree Prediction Technology of Vacuum Interrupter through AC / DC Partial Discharge Measurement

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