Condition assessment of XLPE insulated cables based on polarization/depolarization current method

Ye, Gang; Li, Hua; Lin, Fuchang; Jin, Tao; Wu, Xiaogang; Huang, Zeqi

doi:10.1109/tdei.2015.004782

Cited by 59 publications

(20 citation statements)

References 32 publications

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“…1) Data-driven PHM solutions: Many data sources associated with power cables have been focused on diagnostic tests such as elongation at break [3], partial discharge [4], timereflectometry [5], insulation resistance [6] and polarization currents [7]. However, the limited availability of diagnostic tests has constrained the adoption of PHM strategies for cables.…”

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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“…Because the expressions of (1) ~ (3) are too complex to model in the simulation software by conventional methods, we use the Vector-Fitting method to transfer them into rational fractions as follows:…”

Section: Appendixmentioning

confidence: 99%

“…The ageing condition of the power cables is always of concern to power industries [1]. If the assessment of the cable ageing conditions can be implemented nonintrusively, the outage caused by regular maintenance and even cable failure will be reduced greatly [2]- [3].…”

Section: Introductionmentioning

confidence: 99%

Transient Disturbances Based Non-Intrusive Ageing Condition Assessment for Cross-Bonded Cables

Yang

Luo

et al. 2020

IEEE Access

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The cross-bonding is the most common shield/sheath-bonding system now in use on singleconductor shielded power cables for long distance power transmission. But the complex bonding brings great challenges to the assessment of cable ageing conditions. This paper proposes a non-intrusive ageing assessment method using the transient disturbances originating from the system. The cable relative permittivities, instead of the traditional dielectric loss angle, were extracted from the responses of the transient disturbances to character the ageing state more sensitively. The decoupling analysis of the crossbonded cable and the corresponding relative permittivity identification model were investigated. Since the transient disturbances appear naturally and frequently, a continuous tracking of the cable ageing conditions can be established without interferences to the power system. Moreover, only the magnitudes rather than the phase angles of the cable currents/voltages are required in this method, which effectively simplifies the functions of the signal acquisition devices. The proposed method provides a new idea to assess the ageing conditions of the cross-bonded cables, and has the potential to be applied in industry. INDEX TERMS cross-bonded cable, ageing, transient disturbances, non-intrusive

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“…By equivalent the dielectric to the extended Debye model, the model parameters are solved according to the measured current results. Then the relationship between the model parameters and aging state is analyzed to judge the aging degree of insulation [9][10][11][12][13][14]. Therefore, it is very important to obtain accurate polarization and depolarization currents for dielectric properties and aging state analysis.…”

Section: Introductionmentioning

confidence: 99%

Application of L1 Trend Filtering Technology on the Current Time Domain Spectroscopy of Dielectrics

Suo

Sun

et al. 2019

Electronics

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The current time domain spectroscopy of dielectrics provides important information for the analysis of dielectric properties and mechanisms. However, there is always interference during the testing process, which seriously affects the analysis of the test results. Therefore, the effective filtering of current time domain spectroscopy is particularly necessary. L1 trend filtering can estimate the trend items exactly in a set of time series. It has been widely used in the fields of economics and sociology. Therefore, this paper attempts to apply L1 trend filtering to the current time domain spectroscopy. Firstly, polarization and depolarization currents are measured in the laboratory. Then the test results are filtered by L1 trend filtering and the filtering effects are compared with several common filtering algorithms, such as a sliding mean filter and Savitzky–Golay smoothing filter. Finally, the robustness and time complexity of L1 trend filtering are analyzed. The filtering results show that because the polarization currents vary in a wide range of the time domain (about 2–3 orders of magnitude), smooth and undistorted curves in the whole test time range can hardly be obtained through common filtering algorithms, while they can be obtained by L1 trend filtering. The results of robustness analysis and time complexity analysis show that L1 trend filtering can extract the trend items accurately in the time series under given different noise levels, and the execution time is also lower than 176.67 s when the number of tested points is no more than 20,000. Those results show that L1 trend filtering can be applied to the time domain current spectroscopy of dielectrics.

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Condition assessment of XLPE insulated cables based on polarization/depolarization current method

Cited by 59 publications

References 32 publications

A Diagnostics Framework for Underground Power Cables Lifetime Estimation Under Uncertainty

A Diagnostics Framework for Underground Power Cables Lifetime Estimation Under Uncertainty

Transient Disturbances Based Non-Intrusive Ageing Condition Assessment for Cross-Bonded Cables

Application of L1 Trend Filtering Technology on the Current Time Domain Spectroscopy of Dielectrics

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