A Techno-Economic Framework for Replacing Aged XLPE Cables in the Distribution Network

Hamad, Amr A.; Ghunem, Refat Atef

doi:10.1109/tpwrd.2020.2967141

Cited by 21 publications

(12 citation statements)

References 13 publications

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“…The interest of some other data-driven methods for cable failure specification has been on designing statistical distributions to model the cable lifetime through a parametric function. These models can be used to estimate cable failure occurrences [12] and plan system-level cable maintenance strategies integrated within power system models [13], [14].…”

Section: A Related Workmentioning

confidence: 99%

A Diagnostics Framework for Underground Power Cables Lifetime Estimation Under Uncertainty

Aizpurua

Stewart

McArthur

et al. 2021

IEEE Trans. Power Delivery

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Power cables are critical assets for the reliable operation of the grid. The cable lifetime is generally estimated from the conductor temperature and associated lifetime reduction. However, these tasks are intricate due to the complex physicsof-failure (PoF) degradation mechanism of the cable. This is further complicated with the different sources of uncertainty that affect the cable lifetime estimation. Generally, simplified or deterministic PoF models are adopted resulting in non-accurate decision-making under uncertainty. In contrast, the integration of uncertainties leads to a probabilistic decision-making process impacting directly on the flexibility to adopt decisions. Accordingly, this paper presents a novel cable lifetime estimation framework that connects data-driven probabilistic uncertainty models with PoF-based operation and degradation models through Bayesian state-estimation techniques. The framework estimates the cable health state and infers confidence intervals to aid decision-making under uncertainty. The proposed approach is validated with a case study with different configuration parameters and the effect of measurement errors on cable lifetime are evaluated with a sensitivity analysis. Results demonstrate that ambient temperature measurement errors influence more than load measurement errors, and the greater the cable conductor temperature the greater the influence of uncertainties on the lifetime estimate.

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Section: A Related Workmentioning

confidence: 99%

A Diagnostics Framework for Underground Power Cables Lifetime Estimation Under Uncertainty

Aizpurua

Stewart

McArthur

et al. 2021

IEEE Trans. Power Delivery

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“…replace the aging cables). Inefficient maintenance strategies sometimes do not only cause issues of power system stability [5,6] but also lead to large-scale power outages and cascading failures [7,8].…”

Section: Introductionmentioning

confidence: 99%

Remaining lifespan prediction of cross‐linked polyethylene material based on GM(1, N) grey models

Zhang

et al. 2021

IET Generation Trans & Dist

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Cross‐linked polyethylene (XLPE) cables are a critical component of power transmission systems. As operating conditions sometimes exceed the thresholds set in discipline, some cables fail to reach their designed lifespan, and consequently evaluating the aging degree of cables is particularly necessary. Here ten cables with an operating duration between 1 and 11 years from adjacent lines were sampled. Investigations were performed through various aging evaluation methods. Then typical lifespan prediction indices were concluded from test results and filtrated through correlation calculation. Meanwhile, a lifespan prediction method based on GM (1, N) model was proposed to establish the equivalent relationship between operating time and these indices. The research results indicated that, lifespan prediction indices obtained were all significantly correlated with operating time, which can be used to characterize aging degree of XLPE cables. Besides, due to the high prediction accuracy of experimental verification, the GM (1, N) model was proved to be applicable to evaluate the aging degree quantitatively and determine the remaining lifespan (relative to the designed lifespan) of XLPE cables. In future research, this method can be used to formulate a reasonable and economic withdrawal strategy for XLPE cables operating in conditions that exceed the thresholds set in the discipline.

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“…XLPE distribution cable are the important parts of urban power distribution network, and they are prone to defects during long-term operation, threatening the safety of grid operation [1][2][3]. Since many distribution cables are laid underground, it is difficult to find and locate the defects in time and then eliminate these potential faults [4].…”

Section: Introductionmentioning

confidence: 99%

Effect of Segmented Thermal Aging on Defect Location Accuracy in XLPE Distribution Cables

Shan¹,

et al. 2021

IEEE Access

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Frequency domain reflectometry (FDR) technologies could be applied to locate defects in cables effectively. Owing to the large space span and complex operating environment of the actual XLPE distribution cables, segmented thermal aging phenomenon occurs easily, causing the nonuniform distribution of electrical parameters along cables, which might affect the defect location accuracy ultimately. In this paper, the segmented thermal aging cable models were established and the effect of segmented-aging in XLPE distribution cables on defect location accuracy was explored based on simulation. It was found the floating range of defect location deviation in segmented thermal aging cable models could reach 10% of the whole cable length, which could not be ignored. Further research and analysis revealed that the defect location deviation in the segmented-aging cable mainly attributes to the differences of distributed wave velocities in the cable. On this basis, a correction coefficient of defect location M was put forward for the segmented-aging cable models established, which has achieved remarkable results. Finally, a segmentedaging cable model with a length of 119 m was built in the laboratory, and the validity for improving defect location accuracy by considering the differences of wave velocities was verified through experiments. Results show the defect location deviation can be reduced from 2.19% to 0.39% by introducing M.

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A Techno-Economic Framework for Replacing Aged XLPE Cables in the Distribution Network

Cited by 21 publications

References 13 publications

A Diagnostics Framework for Underground Power Cables Lifetime Estimation Under Uncertainty

A Diagnostics Framework for Underground Power Cables Lifetime Estimation Under Uncertainty

Remaining lifespan prediction of cross‐linked polyethylene material based on GM(1, N) grey models

Effect of Segmented Thermal Aging on Defect Location Accuracy in XLPE Distribution Cables

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