The influence of water in XLPE cable conductor on XLPE insulation breakdown voltage and partial discharge

Nikolajevic, S.V.; Stojanović, B.

doi:10.1109/elinsl.1996.549418

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…A dielectric failure in a power cable could result in unplanned outages of power systems, which affects a large number of customers. Therefore, it is of great importance to detect incipient failures in power cable as early as possible, so that they can be switched safely and improve the reliability of the power systems [1], [2]. Partial discharge phenomenon usually originates from insulation defects and is an important symptom to detect incipient failures in power cable.…”

Section: Introductionmentioning

confidence: 99%

Fractal Features-Based Partial Discharge Pattern Recognition Using Extension Method

Chen

2012

2012 Second International Conference on Intelligent System Design and Engineering Application

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Partial discharge (PD) may cause the insulation deterioration in power equipments and impact the reliability. Therefore, the PD detection with pattern recognition is an important tool in high-voltage insulation diagnosis of power systems. A PD recognition system for high-voltage power cable based on extension method is proposed in this paper. A PD detector is used to measure the raw three-dimension (3D) PD patterns of XLPE power cable using L sensor, from which two fractal features (fractal dimension and lacunarity) and the mean discharge are extracted as PD features. These critical features form the cluster domains of defect types. The matterelement models of the PD defect types are then built according to the PD features derived from practical experimental results. The PD defect type can be directly identified by correlation degrees between the tested pattern and the matter-element models. To demonstrate the effectiveness of the PD features extraction and the extension method, the recognition ability is investigated on 160 sets of field-tested PD patterns of XLPE power cable. Compared whit a multilayer neural network (MNN) and K-means method, the results show the extension method has high accuracy and high tolerance in noise interference.

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Section: Introductionmentioning

confidence: 99%

Fractal Features-Based Partial Discharge Pattern Recognition Using Extension Method

Chen

2012

2012 Second International Conference on Intelligent System Design and Engineering Application

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“…Therefore, water molecules will move under the effect of these gradients in the direction of multiple stresses, thermal and electrical gradients. (1,5). For instance, if the lines of electric field are parallel on the boundary surface between water inclusion in insulation and insulation, then the mechanical stress can be expressed as: 1…”

Section: Qmentioning

confidence: 99%

Accelerated aging of XLPE and EPR cable insulations in wet conditions

Nikolajevic

Conference Record of the 1998 IEEE International Symposium on Electrical Insulation (Cat. No.98CH36239)

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The aim olf this paper is to present the investigation results of the influence of wet service conditions of cross-linked polyethylene (XLPE) and ethylene-propylene with rubber based formulation (EPR) cables on water absorption of XLPE and EPR cable insulations. Also, this paper describes the effect of accelerated aging of XLPE and EPR cable insulations in wet conditions on changing its electrical characteristics. The experimental set up was made for the following XLPE and EPR cable insulations: steam and dry cured with water tree retardant crosslinked polyethylene (TR-XLPE) and steam cured EPR During tests, the tap water was injected (1) into the cable conductor with cable ends closed and (2) into the cable conductor with cable ends opened. The XCPE and EPR cable insulations together with the water present in the cable were subjected to elixtrical stress and heating. The results were analyzed theorelically and experimentally. The results of this investigation were analyzed by mathematical modeling based on Fick's law. tion 1 nickness(mm)

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The influence of water in XLPE cable conductor on XLPE insulation breakdown voltage and partial discharge

Cited by 2 publications

References 8 publications

Fractal Features-Based Partial Discharge Pattern Recognition Using Extension Method

Fractal Features-Based Partial Discharge Pattern Recognition Using Extension Method

Accelerated aging of XLPE and EPR cable insulations in wet conditions

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