Modeling for life estimation of HVDC cable insulation based on small-size specimens

Zuo, Zhiping; Dissado, L. A.; Yao, Chenguo; Chalashkanov, N. M.; Dodd, Stephen J.; Gao, Yantao

doi:10.1109/mei.2020.8932974

Cited by 11 publications

(13 citation statements)

References 26 publications

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“…In order to quantify the relationship between the applied stress (electrical, thermal, and mechanical stress) and the failure time (lifetime), Zuo et al proposed several competing life expressions based on different mechanisms and the average life data through laboratory tests. e fitting model expression can compare the different durability characteristics of insulation material candidates and study their performance in a given cable system [12]. However, this expression still has certain limitations and has not been widely adopted.…”

Section: Related Research At Home and Abroadmentioning

confidence: 99%

“…From the above analysis, it can be seen that there are mainly 10 judgment indicators for the assessment of cable insulation aging life. According to the survey of the average random consistency index of the same order matrix in Table 2, the average random consistency index RI � 1.49 of the tenth order matrix can be known, and the calculation formula of the consistency ratio CR of the evaluation matrix is shown in equation (12).…”

Section: Index Valuementioning

confidence: 99%

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Evaluation Model of Cable Insulation Life Based on Improved Fuzzy Analytic Hierarchy Process

Xian

Guo

2021

Mathematical Problems in Engineering

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Since the human society entered the electrification era, people’s work, life, and even the production and development of various industries in society are inseparable from the supply of electricity. The purpose of this paper is to establish a cable insulation life evaluation model based on the improved fuzzy analytic hierarchy process to test the current insulation characteristics and life of various types of cables, so as to ensure the quality of power supply and safe production of power. This paper first understands the cable insulation characteristics test process and electrical power-related knowledge through a large number of literature studies and consultation with power grid professionals. Then this paper combines the theoretical research and improvement of the fuzzy analytic hierarchy process based on the actual situation of the cable insulation characteristics, thereby constructing the cable insulation life evaluation model. In this evaluation model, this paper combines the fuzzy comprehensive evaluation method and the analytic hierarchy process as well as the actual situation of the cable characteristic test to analyze and predict the insulation life of the cable. Finally, the linear test and reliability estimation of the experimental results are carried out, and the application of this evaluation model is extended to the evaluation of insulation life of other types of cables. Based on this, this paper proposes a cable insulation life evaluation model based on the improved fuzzy analytic hierarchy process. This model combines the Weibull model and the Arrhenius model commonly used in the assessment of cable insulation aging life and the improved fuzzy analytic hierarchy process. Experiments have proved that, within a certain range, temperature factors have a significant impact on the cable insulation life. For example, when the temperature is below 55°C, the insulation life of the cable is usually 30 to 50 years. However, the evaluation model of the improved fuzzy analytic hierarchy process in this paper has much higher accuracy in evaluating cable insulation life than other life evaluation methods.

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Section: Related Research At Home and Abroadmentioning

confidence: 99%

Section: Index Valuementioning

confidence: 99%

Evaluation Model of Cable Insulation Life Based on Improved Fuzzy Analytic Hierarchy Process

Xian

Guo

2021

Mathematical Problems in Engineering

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“…An electrical lifetime model based on the analysis of inverse power model (IPM) parameters and the failure mechanism of XLPE cable were established in [ 25 ]. A simulation technique was proposed in [ 26 ], which allows full-sized insulation lifetime predictions to be made using data obtained from thin film samples. In the previous research about the evaluation and lifetime prediction of XLPE insulated power cables, most of the results are extracted from a limited set of samples with large randomness, which might be a far from accurate diagnosis and prognosis for cables.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Cross-Linked Polyethylene Insulation of Operating 110 kV Power Cables

Ding

Wang

et al. 2022

Polymers

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The ageing characteristic of XLPE insulation of operating a 110 kV power cable with different service time is studied in this paper. The microscopic morphology of XLPE films from different cables were characterized by using Differential Scanning Calorimetry (DSC), X-ray Diffraction method (XRD), and Fourier Transform Infrared Spectroscopy (FTIR) methods, and the dielectric, mechanical, and electrical properties of XLPE were also measured. The relationship of several typical property parameters with the cable service time were established, and the ageing mechanism of XLPE insulation of the operating cable was also analyzed. It was found that XLPE insulation would endure a recrystallization process in the initial operation stage during which the microscopic morphology would become more perfect with higher crystallinity and denser crystal structure. Then, the thermal oxidation would dominate the ageing process of XLPE with the molecular chains broken and more micromolecular products generated after the cable had operated for more than 10–15 years. The AC breakdown strength decreases with the increase of cable service time, with lower decreasing rate in the initial operation stage and a larger rate after 10–15 years. The Pearson correlation coefficient between the cable service time with the characteristic parameters were calculated, and some of them were found to be effective to be used as indicators for operation state detection of operating power cables.

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Section: Introductionmentioning

confidence: 99%

“…In HV engineering, equivalent circuit models that represent insulation and dielectric materials are used to simulate and understand the behavior of HV in testing objects [9,[13][14][15][16][17]. Zuo et al (2020) modeled insulation cable with equivalent circuit models by considering placing the cable into small fractions of insulation (dielectric) material and discussed the HV direct current influence on insulation cables [14]. Kabir et al (2011) [18] made equivalent circuit models to understand the fine ceramics (ZnO varistors) by considering hundreds of ZnO grains of an average grain size of 1-2 µm to understand the nonlinear I-V (current-voltage) properties of ZnO varistors.…”

Section: Introductionmentioning

confidence: 99%

Equivalent Circuit Models: An Effective Tool to Simulate Electric/Dielectric Properties of Ores—An Example Using Granite

et al. 2022

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The equivalent circuit model is widely used in high-voltage (HV) engineering to simulate the behavior of HV applications for insulation/dielectric materials. In this study, equivalent circuit models were prepared in order to represent the electric and dielectric properties of minerals and voids in a granite rock sample. The HV electric-pulse application shows a good possibility of achieving a high energy efficiency with the size reduction and selective liberation of minerals from rocks. The electric and dielectric properties were first measured, and the mineral compositions were also determined by using a micro-X-ray fluorescence spectrometer. Ten patterns of equivalent circuit models were then prepared after considering the mineral distribution in granite. Hard rocks, as well as minerals, are dielectric materials that can be represented as resistors and capacitors in parallel connections. The values of the electric circuit parameters were determined from the known electric and dielectric parameters of the minerals in granite. The average calculated data of the electric properties of granite agreed with the measured data. The conductivity values were 53.5 pS/m (measurement) and 36.2 pS/m (simulation) in this work. Although there were some differences between the measured and calculated data of dielectric loss (tanδ), their trend as a function of frequency agreed. Even though our study specifically dealt with granite, the developed equivalent circuit model can be applied to any other rock.

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Modeling for life estimation of HVDC cable insulation based on small-size specimens

Cited by 11 publications

References 26 publications

Evaluation Model of Cable Insulation Life Based on Improved Fuzzy Analytic Hierarchy Process

Evaluation Model of Cable Insulation Life Based on Improved Fuzzy Analytic Hierarchy Process

Performance Evaluation of Cross-Linked Polyethylene Insulation of Operating 110 kV Power Cables

Equivalent Circuit Models: An Effective Tool to Simulate Electric/Dielectric Properties of Ores—An Example Using Granite

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