Test Bed Characterization for the Interfacial Pressure vs. Temperature Measurements in MV Cable-Joints

Sante, Raffaella Di; Ghaderi, Abbas; Mingotti, Alessandro; Peretto, Lorenzo; Tinarelli, Roberto

doi:10.1109/metroi4.2019.8792867

Cited by 3 publications

(10 citation statements)

References 13 publications

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“…The measurement setup adopted in this work is the one developed and characterized in [31]. The main elements of the setup are the thermostatic chamber, capable of varying the temperature in the range 5 to 60 • C, and the cable joint under test (CUT).…”

Section: Overviewmentioning

confidence: 99%

“…(ii) A 24-bit National Instrument NI9239 Data AcQuisition board (DAQ) featuring an input range of ±10 V, a gain error and offset error of 0.03% and 0.008%, respectively. (iii) The sensing part of the setup includes 4 pressure sensors Flexi Force Standard Model HT201 characterized in [31]. Their main characteristics are: thickness of 0.203 mm, linearity up to 3 MPa, temperature drift of 0.088%/ • C, and a non-linearity error of 3% of the full scale.…”

Section: Overviewmentioning

confidence: 99%

“…The correlation between the interfacial pressure and tangent delta has been explored in [30]. The variation of the interfacial pressure with the ambient temperature was also investigated [31].As for the PD, they are considered by several experts to be an effective method to assess the "healthy" status of the cable joints. Therefore, literature provides a high number of studies on this topic.…”

mentioning

confidence: 99%

“…For example, new PD extraction and analysis methods are presented in [32,33], while an on-line measurement setup is described in [34]. Based on these works [30,31], a correlation between the three physical parameters involved can be established.In light of the above mentioned, the aim of this paper is to measure and evaluate the interfacial pressure between XLPE and SR when subject to thermal cycles. Such cycles aim at reproducing the ambient temperature variations that a cable joint suffers during its working life.…”

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Effects of Thermal Cycles on Interfacial Pressure in MV Cable Joints

Sante

Ghaderi

Mingotti

et al. 2019

Sensors

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The use of medium voltage cable joints is mandatory when dealing with power cable faults and the installation of new lines. However, such an accessory is among the top causes of faults among the grid. To this purpose, one of the quantities monitored to understand the causes of such faults is the interfacial pressure between the insulating layers of the cable joint. In this work, the interfacial pressure between Cross-linked polyethylene (XLPE) and silicon rubber has been evaluated when the cable joint experiences thermal cycles. From the results, the pressure variation caused by the thermal cycles is demonstrated. Such a phenomenon may be connected to the generation of voids and weak spots that accelerate cable joint ageing. Therefore, proper comments and conclusions are drawn.Sensors 2020, 20, 169 2 of 13 delta at ambient temperature. The same setup is then used to perform measurements in the 5-60 • C temperature range [25]. The experiments demonstrated a relationship between the temperature and the tangent delta, affecting the cable joint service life. In [26,27], different Tanδ extraction methods are presented.The pressure between the insulating elements and the cable joint is also believed to affect the insulation effectiveness provided by the cable joint. The selection of materials plays a relevant role in this respect [28]. A method is available in literature to calculate and simulate the surface pressure [29]. The correlation between the interfacial pressure and tangent delta has been explored in [30]. The variation of the interfacial pressure with the ambient temperature was also investigated [31].As for the PD, they are considered by several experts to be an effective method to assess the "healthy" status of the cable joints. Therefore, literature provides a high number of studies on this topic. For example, new PD extraction and analysis methods are presented in [32,33], while an on-line measurement setup is described in [34]. Based on these works [30,31], a correlation between the three physical parameters involved can be established.In light of the above mentioned, the aim of this paper is to measure and evaluate the interfacial pressure between XLPE and SR when subject to thermal cycles. Such cycles aim at reproducing the ambient temperature variations that a cable joint suffers during its working life. From the results, compared also with the current literature, it can be appreciated a typical behavior, due in this case by the thermal cycles, that is cause of ageing acceleration of cable joints (as detailed below).The paper is structured as follows. In Section 2 the measurement setup and the details of its elements are described. The experimental tests are described in Section 3, while Section 4 is dedicated to the results analysis and comparison with consistent literature. In Section 5, comments on the obtained results and conclusion are drawn.

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confidence: 99%

Section: Overviewmentioning

confidence: 99%

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confidence: 99%

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confidence: 99%

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confidence: 99%

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Effects of Thermal Cycles on Interfacial Pressure in MV Cable Joints

Sante

Ghaderi

Mingotti

et al. 2019

Sensors

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Study on Pressure Variation Characteristics of Cable Accessories Interface under Temperature Cycling

Hou

Wang²,

Yu³

et al. 2021

2021 International Conference on Electrical Materials and Power Equipment (ICEMPE)

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Comparison of Algorithms for the AI-Based Fault Diagnostic of Cable Joints in MV Networks

et al. 2023

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Electrical utilities and system operators (SOs) are constantly looking for solutions to problems in the management and control of the power network. For this purpose, SOs are exploring new research fields, which might bring contributions to the power system environment. A clear example is the field of computer science, within which artificial intelligence (AI) has been developed and is being applied to many fields. In power systems, AI could support the fault prediction of cable joints. Despite the availability of many legacy methods described in the literature, fault prediction is still critical, and it needs new solutions. For this purpose, in this paper, the authors made a further step in the evaluation of machine learning methods (ML) for cable joint health assessment. Six ML algorithms have been compared and assessed on a consolidated test scenario. It simulates a distributed measurement system which collects measurements from medium-voltage (MV) cable joints. Typical metrics have been applied to compare the performance of the algorithms. The analysis is then completed considering the actual in-field conditions and the SOs’ requirements. The results demonstrate: (i) the pros and cons of each algorithm; (ii) the best-performing algorithm; (iii) the possible benefits from the implementation of ML algorithms.

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Test Bed Characterization for the Interfacial Pressure vs. Temperature Measurements in MV Cable-Joints

Cited by 3 publications

References 13 publications

Effects of Thermal Cycles on Interfacial Pressure in MV Cable Joints

Effects of Thermal Cycles on Interfacial Pressure in MV Cable Joints

Study on Pressure Variation Characteristics of Cable Accessories Interface under Temperature Cycling

Comparison of Algorithms for the AI-Based Fault Diagnostic of Cable Joints in MV Networks

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