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Partial Discharge (PD) is one of a symptom in the underground cable before the fault happens. This paper concerned with estimation and detection problems related to PD phenomena in buried underground cables. The Rogowski coil has been implemented to analyze this symptom. The various sizes of nominal cross-sectional area cross-linked polyethylene (X...
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... simulation. Based on data sheet refer in [11], the parameter of the cable is changed based on the size of the cross- sectional area conductor. In the simulation, the radius of the conductor and sheath will be identified in the line cable component (LCC) dialog block. The cross-sectional area of the XLPE cable in the LCC model clearly shows in the Fig. 5. ...
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The insulation condition of power cables is closely associated with partial discharge (PD) [1]. Early signs of cable insulation failure such as from electrical treeing are revealed by PD detection [2], and insulation failure will eventually lead to breakdown [3]–[5]. For AC cross-linked polyethylene (XLPE) cables, online PD detection is used to det...
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... PD can be categorised into several types such as corona, surface and internal discharge [6]- [8]. It is a small transient of sparks with tiny amplitude and short duration of several nanoseconds to a few microseconds [9]- [11]. This condition may eventually cause to a total failure and in the meantime considerably reduce the life span of the power equipment. ...
... Higher sensitivity and wider bandwidth sensors as an indication of insulation's health are necessary in detecting the transient current as well. As a coreless inductive sensor, RC sensor is selected since it contains has several advantages such as easy to construct and taken care of, lightweight, small size, low cost and fast response [9]. ...
In this paper, a series of investigations on sensitivity and bandwidth for four types of Rogowski coil (RC) sensors was demonstrated. The proposed RC sensor design using acrylonitrile butadiene styrene material carries the advantages, such as lighter weight, robust, and higher temperature resistance. The prototype development first was carried out with the assistance of Solidwork 3D computer aided design software and MakerBot 2X 3D printer. Subsequently, the sensors were modeled and simulated using electromagnetic transient program-alternative transient program software environment based on the lumped parameter identification. A single-end measuring technique was used to locate the PD signal on the three-phase medium voltage underground cross-link polyethylene insulated power cable with a 240-mm² nominal area copper conductor. In order to verify the results achieved from the simulation, an experiment was carried out. This experiment was repeated concurrently for each design of the RC sensors. In order to achieve the best PD detection, the precise selection for the best sensor is paramount. In this case, the results indicated that certain geometrical shape performed better with regard to the detection of the PD signal.
... The RC has been introduced by W. Rogowski who is a Russia's engineer in 1912. Low detection of PD signal in term of sensitivity and frequency for the RC sensor is a fundamental limitation which a major concern in insulation monitoring [6], [7]. The PD sensor must be installed in existing network during operation to avoid disturbance in the MV line cable. ...
This paper presents the analysis of constructed shielded Rogowski coil (RC) sensor for partial discharge (PD) measurement. The RC sensor with rectangular shape has been designed in order to compare the performance unshielded and shielded type in term of sensitivity. Solidwork 3D CAD software has been used to design the core of RC sensor with their casing.Marker Board Replicator 2X 3D printer is used to print the design. An experiment has been conducted to evaluate the difference performance of unshielded and shielded RC sensor
with amplitude range PD signal between 1 V to 5 V respectively and the frequency is fixed to 1 MHz. The difference terminating resistance has been installed to the RC sensor too. From the experiment, the percentage average losses of unshielded and shielded RC sensor from 1 V to 5 V at 14.48 % is achieved. The low level of PD signal is challenging to be detected by the RC sensor. The terminating resistance of the coil is a part of
parameter which can improve the performance of RC sensor.
Medium voltage underground cables are widely used in urban area as distribution power lines due to their advantages over overhead cables. Underground cables may suffer from partial discharge because of insulation degradation after certain period of time. In this paper, an improved multi-end partial discharge location algorithm called segmented correlation trimmed mean algorithm is proposed. The algorithm uses segmented correlation technique and trimmed mean data filtering technique to enhance the accuracy of partial discharge location algorithm. The algorithm had been tested in MATLAB environment which consists white Gaussian noise. First, discrete wavelet transform is carried out to suppress noisy signals. Next, segmented correlation technique is applied to the de-noised segmented partial discharge signals. Segmented correlation technique has manipulates partial discharge signals by performing cross correlation process on segmented partial discharge signals in order to reduce memory usage and algorithm execution time. Lastly, trimmed mean data filtering technique is applied to the estimated partial discharge location values to estimate new partial discharge location value. Trimmed mean data filtering technique does statistical process control on estimated partial discharge location values in order to minimize the error of estimated partial discharge location. The segmented correlation trimmed mean algorithm had been compared with the existing multi-end correlation-based algorithm. The result shown that the segmented correlation trimmed mean algorithm has better accuracy than multi-end correlation-based algorithm.
A remarkable challenge in online partial discharge monitoring is to extract desired partial discharge signal from excessive noise caused by the operating cable. Wavelet based de-noising technique can be utilized for noise
suppression. However, the wavelet based de-noising technique’s ability to fully suppress the non-constant level of noise is limited. Therefore, trimmed mean data filtering technique is applied in partial discharge location algorithm for statistical analysis. In the process of creating trimmed mean partial discharge location algorithm, multi-end partial discharge location algorithm is restructured by adding trimmed mean data filtering technique. Both multi-end partial discharge location algorithm and trimmed mean partial discharge location algorithm had been tested for their performance. In the performance test, noise is modeled and added into the simulated partial discharge signals to enhance the similarity of simulated partial discharge signals with real detected partial discharge signals. Discrete wavelet transform de-noising technique is used for suppressing various level of simulated noise in partial discharge signals. The test result showed that trimmed mean partial discharge location algorithm enhances the accuracy in estimating partial discharge location under noisy environment.
