A reliability assessment model for an outdoor 88 kV XLPE cable termination

Chimunda, Samantha; Nyamupangedengu, Cuthbert

doi:10.1016/j.epsr.2019.105979

Cited by 10 publications

(4 citation statements)

References 14 publications

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“…After %HIC of all components are calculated, a percentage HI condition of the underground system (%HIS) is evaluated by using Equation (2). The worst percentage HI from every component (%HIC W,j ) in each group along the cable route is selected as a representative of each major group to calculate the overall system HI of a system (%HIS) identified from 0% to 100 % from poor to good condition:…”

Section: System Hi Calculationmentioning

confidence: 99%

“…Nevertheless, the increasing number of underground cable system failures has also been recognized. Both visible and invisible degradations of the cable system could be caused by installation defects, as well as electrical, thermal, and mechanical stresses as well as possible damages to installation sites and the operational environment [1,2]. Thus, to maintain the acceptable condition of a cable system, the utility needs to recognize the actual condition and the end of life of their own asset for proper management and effective planning of repair, renovation or replacement of the defective asset before damage [3].…”

Section: Introductionmentioning

confidence: 99%

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Lifetime Estimation Based Health Index and Conditional Factor for Underground Cable System

Somsak

Suwanasri

2021

Energies

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In this paper, a lifetime estimation method for underground cable systems is proposed by combining a health index (HI) and conditional factor (CF). The underground cable system consists of underground cable, joint, termination, manhole, and duct bank. The HI is an indicator to indicate the actual condition of underground cable components and systems whereas the CF is used to indicate different operating stresses of the system under different operating conditions such as percentage loading, electrical stresses, laying structure, environment, etc. The actual technical data as well as historical operating and testing records are applied. The weighting and scoring method with the analytical hierarchy process are used to classify an importance of underground cable components, testing methods, and criteria used in the HI and CF calculation. The annual calculated HIs are plotted to investigate the lifetime trending curve by using a polynomial function. The degradation curve based on calculated CF is estimated by using the Weibull distribution function. Finally, the remaining life of the underground cable system is determined by matching the lifetime trending curve with the degradation curve. Ten practical underground cable systems supplying power in a high voltage power delivery system are evaluated with effective results. The lifetime of the underground cable system can be successfully estimated.

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Section: System Hi Calculationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Lifetime Estimation Based Health Index and Conditional Factor for Underground Cable System

Somsak

Suwanasri

2021

Energies

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“…Based on the studies by Li et al, [7] the operating frequency of power systems depends on the insulation quality of power cables. Many projects demonstrated that the measurement of PD is a reliable way to assess the cable's status [8][9][10][11]. However, there may be numerous active PD sources detected at once in a real power system, raising the possibility that PD sources are misclassified and interpreted incorrectly [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Development of Second Order High Frequency Filter for Partial Discharge Measurement

Syed Akhmal Syed Jamalil,

Zalikha Shamsul,

Muzamir Isa

et al. 2024

ARASET

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Partial discharge (PD) can occur on any high-voltage equipment. This study is particularly concerned with the PD that occurs on underground cables. Researchers frequently struggle to isolate interference noise from the PD signal when doing PD measurements. Therefore, to reduce the interference noise during PD measurements, Sallen-Key high-pass filters with a 500 kHz, or a little bit higher cut-off frequency are designed. This filter is designed with a designated cut-off frequency value because the frequency range of the PD signal is between 1 MHz to 1 GHz. Based on the results of experimental testing for actual filters, the designed filter is a high-pass filter with a cut-off frequency of 500KHz. When the generator function's input frequency values are set between 500 kHz and 2.4 MHz, the signal will pass the filter and provide output values for both frequencies and amplitude. However, at frequencies lower than 500 kHz, the signal is beginning to be filtered and the output signal's amplitude is getting close to zero. Based on the PD testing results, there is interference on the PD signal shown on the oscilloscope when a 1kV supply is applied to an underground cable without using a filter. But, when the proposed filter is used in PD testing, the ripple voltage is reduced from 123 mV to 67 mV. This proves that when the designed filter is used in PD testing, it can reduce interference noise on the PD signal.

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“…Due to long-term exposure to complex natural environments, high-voltage cable accessories inevitably suffer corrosion and other damage. As a result of poor welding or poor waterproofing, the most common damage is electrochemical corrosion of the cable aluminum sheath at the welded joint between the tailpipe and the aluminum sheath [1][2][3][4]. The corrosion defect disconnects the cable aluminum sheath from the cable shield.…”

Section: Introductionmentioning

confidence: 99%

Deep learning-based corrosion-like defect localization technique for high-voltage cable aluminum sheaths using guided waves

Zhang

Luo

Hong

et al. 2023

Meas. Sci. Technol.

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As an important part of the power system, high voltage cable accessories need to ensure the reliability of the electrical connection. However, its aluminum sheath is prone to corrosion with complex working conditions, which has a bad effect on the normal operation of the electric system. Ultrasonic guided wave detection is a promising non-destructive testing method suited to detecting corrosion of aluminum sheaths in complex structures of high-voltage cable accessories. However, current ultrasonic guided wave detection methods still require manual extraction of the signal features and have a high reliance on professional knowledge. This paper proposes a deep learning-based corrosion-like defect localization technique for high-voltage cable aluminum sheath using guided wave. Firstly, the original ultrasonic guided wave signals of corrosion defects at different locations are obtained using ultrasonic guided wave detection platform. Then, the original signals are input into the variable auto-encoder (VAE) network to obtain a low-dimensional representation for automatic feature extraction. Finally, the low-dimensional representation is input into a gate recurrent unit (GRU) based recurrent network for corrosion defects localization. In the feature extraction stage, the VAE can automatically extract the effective features and avoid the interference of noisy signals. In the defect localization stage, GRU method can accurately identify the location of corrosion defects. The maximum error of the training median is 0.072 m, and the maximum error of the test median is 0.0021 m. The experimental results indicate that the VAE-GRU method is capable to accurately identify corrosion defects based on the original signals.

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A reliability assessment model for an outdoor 88 kV XLPE cable termination

Cited by 10 publications

References 14 publications

Lifetime Estimation Based Health Index and Conditional Factor for Underground Cable System

Lifetime Estimation Based Health Index and Conditional Factor for Underground Cable System

Development of Second Order High Frequency Filter for Partial Discharge Measurement

Deep learning-based corrosion-like defect localization technique for high-voltage cable aluminum sheaths using guided waves

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