On Line Monitoring of Partial Discharge in High Voltage Cables

Cross-linked polyethylene (XLPE) power cable is commonly used as the medium for transmitting power supply in the power system network. However, frequent exposure of XLPE cable to the high voltage causes its insulation to degrade over time leading to electricity outages. Degradation of cable can be prevented if regular maintenance is performed using the accurate assessment method. This study models and simulates a cable system comprising of three cable sections connected by two un-degraded cable joints. This model aims to assess defect along the tested cable with the application of time domain reflectometry (TDR) technique. A series of simulations are conducted by varying the cable insulation condition to study its influence on the cable joint reflection. These simulation results from MATLAB/Simulink are validated against the actual TDR experimental results. The identical results shown between the simulation and experimental results indicate that the cable model is valid and can be used to assess the condition of a cable.

Section: Introductionmentioning

confidence: 99%

Verification of MATLAB/Simulink Power Cable Modelling with Experimental Analysis

Kuan

Sulaiman

Ariffin

et al. 2018

“…Power cable is an important asset to power utility companies as it is the only medium to supply electricity to the consumers. There are many factors that contribute to power cable failure such as faulty cable joint, manufacturing defects and cable insulation degradations such as partial discharge, voids in the insulation and water treeing [6][7][8][9]. Due to the vast factors contributing to power cable failure, cable diagnosis on-site requires time to locate the fault leading to long duration of electricity disruption time.…”

Section: Introductionmentioning

confidence: 99%

Power Cable with Two Joints Experimental Analysis for Defect Assessments

Kuan¹,

Ariffin²

2018

<span>Time domain reflectometry (TDR) is an easy technique that provides quick response which is ideal for power utility companies to conduct cable diagnostics on-site. Electricity disruption due to power cable failure is a major challenge for power utility companies due to the long length of cable installed with joints. The long time taken to diagnose the defect along the cable before electricity can be restored has not only jeopardized the reputation of power utility companies but also brings losses to the economy. Hence, this study conducts experimental analysis on cable with two joints with the application of TDR technique to reduce the electricity disruption time. This research is divided into two stages where stage 1 conducts experiments on cable with one degraded section while stage 2 looks into cable with two degraded sections. The TDR reflection characteristics are studied from stage 1 experiments and applied to stage 2 experiments to verify the consistency of the TDR reflection characteristics. The cable conditions of stage 2 experiments are predicted using the reflection characteristics from stage 1 observations and are then validated by comparing these predictions with the actual cable configuration. Results obtained from these experiments have proven that the TDR reflection characteristics are consistent and accurate which can be used to sectionalize the degraded cable section. Detail findings of all experiments conducted with the TDR application are discussed in part three of this paper.</span>

“…Cable joints used to connect the long underground cables may contribute to cable breakdown when the joints are degraded or faulty due to poor workmanship of joint installation since cable jointings are done manually by technicians. Cable insulation degradations such as partial discharge, voids in the insulation and water treeing are common problems faced by the power utility companies [7][8][9][10]. It is very important to ensure power cables are well maintained to provide a reliable power system and hence, this research focuses on the technique to identify and locate the fault along a cable.…”

Section: Introductionmentioning

confidence: 99%

“…Studies in [11][12][13][14] have suggested reflectometry techniques due to the fact that these techniques are not destructive compared to other existing techniques as suggested by [7][8], [15][16][17][18][19]. Although techniques in [7][8], [15][16][17][18][19] have been applied by the power utility companies during cable maintenance but most techniques are either destructive, not suitable to be conducted on-site or unable to forecast the cable performance [18][19][20][21]. Study in [22] has shown that the time domain reflectometry (TDR) technique is an easy technique which works similarly to the radar system.…”

mentioning

confidence: 99%

Validation of S-parameter Power Cable Joint Model on Two Cable Defect Sections

Kuan¹,

Sulaiman²,

Ariffin³

et al. 2018

<p>Electricity disruption due to power cable failure is a major challenge to power utility companies worldwide. A technique which provides quick response with accurate result is needed to detect defects along the cable to reduce the disruption time. This paper discusses the application of time domain reflectometry (TDR) technique to identify and locate the defect along a cable. A cable system is modelled in MATLAB/Simulink to replicate the cable configuration with two joints using the scattering parameter (S-parameter). This research studies the fault identification for two degraded sections in a cable by analyzing the reflected signal from the TDR technique. The characteristics of the reflected signal which indicates the defect cable section are discussed in detail in this paper. Results from MATLAB/Simulink simulations are also compared to the experimental results of the same cable configuration. This study shows that the signal reflection characteristics from MATLAB/Simulink simulations are similar to the experimental results. This indicates that the cable model system built using MATLAB/Simulink replicates the actual cable system accurately which can be used for further analysis of cable fault localization.</p>