Study on electrical characteristics of XLPE insulation of high voltage cable

Yang, Jingyu

doi:10.32657/10356/14965

Cited by 3 publications

(5 citation statements)

References 162 publications

(351 reference statements)

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“…There are few studies on power cable condition assessment for distribution cables [3][4][5], and the current power operation and maintenance department currently performs a regular maintenance mechanism, which is an offline experiment [6]. It is impossible to obtain the monitoring data of the cable in real time.…”

Section: Introductionmentioning

confidence: 99%

Research and application of 10kV cable condition assessment online monitoring device based on improved fuzzy theory

Jin,

Yang,

Zhang

et al. 2023

Second International Conference on Electronic Information Technology (EIT 2023)

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Distribution cable is an important part of distribution network, and its running state has an important influence on the normal operation of distribution network. At present, the maintenance of distribution cables is mainly based on offline regular maintenance mechanism, which cannot monitor the operation status of cables in real time, and the regular maintenance is not targeted and the monitoring method is relatively single. Therefore, the comprehensive evaluation method of improved fuzzy theory is used to evaluate the operation state of distribution cable, and a set of cable on-line monitoring device is designed. The designed device is installed and debugged on site, which verifies that the device can effectively monitor the state of cable.

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Section: Introductionmentioning

confidence: 99%

Research and application of 10kV cable condition assessment online monitoring device based on improved fuzzy theory

Jin,

Yang,

Zhang

et al. 2023

Second International Conference on Electronic Information Technology (EIT 2023)

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“…Therefore, study the underground cable insulation parameters measurement technology, to improve the security and reliability of the coal mine power supply has important value. [3] For a long time, the coal mine high voltage cable line lacks on-line detection device, the traditional measuring method need to stop the operation of the power grid, process is trival, error is larger, and affect the normal production. [4,5] This article uses the method of low frequency signal source design a cable insulation on-line detection device, can be in power, realize the online measuring insulation parameters for the underground cable, the device has high sensitivity, the characteristics of the error is small, has a good application prospect.…”

Section: Introductionmentioning

confidence: 99%

On-Line Detection of the Coal Mine Power Cable Parameters Based on the Method of Low Frequency Signal

Wang

Peng

Shao

2014

AMM

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The coal mine power supply mainly rely on cable, its insulation level directly affects the coal mine safety production. Has long been lack of perfect insulation parameters online detesting equipment, the traditional detection methods need to stop the normal grid power supply, affect the normal production of coal mine, it is great significance that research a kind of on-line insulation parameters detection equipment. Using three-phase reactor in the neutral point insulation system to make artificial neutral point, from this point inject low-frequency voltage signal, the signal through the cable ontology, cable to ground insulation resistance and capacitance, and to a loop resistor. Measure the voltage and current signals and modulus conversion, using DSP to realize rapid changes of Fourier algorithm, can quickly and accurately calculate the cable to ground insulation parameters. The algorithm is effective to solve the traditional measuring circuit transformer reactance and unbalance current's influence to the accuracy of measurement, measurement process will not affect the normal operation of the electric power system, the insulation parameters can be accurately measure online.

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“…They grow without detectable partial discharges. Once formed, water trees become partially or completely invisible upon drying of the material, but can be made visible again by exposure to (hot) water without applying an electric field [35].…”

Section: ) Water Treeingmentioning

confidence: 99%

“…The detection of PD is based on this energy exchange of discharges. These exchanges can be manifested as electrical current, dielectric loss, magnetic radiation, optical radiation, sound, increased gas pressure, and chemical reaction [35]. These different kinds of characteristics are detected to describe the PD occurrence.…”

Section: Pd Measurementmentioning

confidence: 99%

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Transient earth voltage (TEV) based partial discharge detection and analysis

Luo¹

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Partial discharge (PD) detection is an effective way to evaluate the insulation condition of electrical equipment in power systems. The non-intrusive TEV-detecting method which detects transient earth voltage (TEV) signals from the external surface of equipment does not require interruptions of electrical operations and is thus preferred by more and more researchers, engineers and users. However, as a new technique, TEV based PD measurement is not well developed in many aspects, for example, the measuring system and the de-noising methods. Consequently, the research and development of the TEV based PD measurement has become an interesting topic in recent decades. This thesis presents an investigation on the sensing system and the de-noising methods of TEV based PD measurement system. First of all, the mechanism, popular measuring systems, noise types and existing de-noising methods of PDs are reviewed. Secondly, based on the characteristics of TEV signals, a TEV based PD measuring system was proposed and its effectiveness has been demonstrated by an experimental test. Next, the optimal settings of a popular de-noising method for non-impulsive noise, wavelet thresholding, are selected and its processing efficiency is enhanced by using parallelism algorithm in C environment. Furthermore, the wavelet entropy is proposed to classify PD pulses from impulsive noises. Finally, a noise reduction system using Fourier transform and time-frequency entropy is proposed to reject various kinds of noises. The non-intrusive PD measuring techniques have been more and more popular in recent years. In this thesis, a TEV based PD measuring system is proposed. The major parts: non-intrusive sensor and high-pass filter are designed according to the characteristics of TEV signals. The performance of proposed system is demonstrated by an experimental test where the PD signals are collected by both TEV and HFCT sensors. By considering the features of proposed system, the detected TEV signals are well simulated. Due to the external locations of TEV sensors, the performance of TEV based PD detection is limited by noises. To remove non-impulsive noises, wavelet thresholding is often used. As the de-noised results depend on the settings of algorithm, the optimal ones are selected according to the features of TEV signal and the proposed system. Further, the processing efficiency of wavelet thresholding with optimal settings is enhanced. Summary iii As wavelet transform is good at time-frequency analysis of PD signals, its capability in rejecting impulsive noises is also explored. Therefore, wavelet entropy is proposed. By comparing with the traditional energy spectrum, the wavelet entropy is more stable to represent a single pulse. With the help of a trained ANN whose parameters are selected carefully, the PD pulses can be extracted with good percentages. The impulsive noise reduction based on features of single pulses is often ineffective when PD pulse and noise occur at the same time. Thus, a de-noising system is proposed to remove both imp...

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Study on electrical characteristics of XLPE insulation of high voltage cable

Cited by 3 publications

References 162 publications

Research and application of 10kV cable condition assessment online monitoring device based on improved fuzzy theory

Research and application of 10kV cable condition assessment online monitoring device based on improved fuzzy theory

On-Line Detection of the Coal Mine Power Cable Parameters Based on the Method of Low Frequency Signal

Transient earth voltage (TEV) based partial discharge detection and analysis

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