A Novel Oscillation Wave Test System for Partial Discharge Detection in XLPE Cable Lines

2020 ◽  
Vol 35 (4) ◽  
pp. 1678-1684 ◽  
Author(s):  
Guangya Zhu ◽  
Kai Zhou ◽  
Shilin Zhao ◽  
Yuan Li ◽  
Lu Lu
Energies ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4549 ◽  
Author(s):  
Xianjie Rao ◽  
Kai Zhou ◽  
Yuan Li ◽  
Guangya Zhu ◽  
Pengfei Meng

Locating the partial discharge (PD) source is one of the most effective means to locate local defects in power cable lines. The sampling rate and the frequency-dependent characteristic of phase velocity have an obvious influence on localization accuracy based on the times of arrival (TOA) evaluation algorithm. In this paper, we present a cross-correlation algorithm based on propagation distance to locate the PD source in cable lines. First, we introduce the basic principle of the cross-correlation function of propagation distance. Then we verify the proposed method through a computer simulation model and investigate the influences of propagation distance, sampling rate, and noise on localization accuracy. Finally, we perform PD location experiments on two 250 m 10 kV XLPE power cables using the oscillation wave test system. The simulation and experiment results indicate that compared with traditional TOA evaluation methods, the proposed method has superior locating precision.


Author(s):  
Mohamad Izmir Farhan Mohamad Radzi ◽  
N H Nik Ali ◽  
Azrul Mohd Ariffin ◽  
Muhamad Safwan Abd Rahman ◽  
Norhidayu Rameli ◽  
...  

High voltage assets play a vital role in providing uninterrupted power to the consumers and any slight problems experienced by the assets may cause losses in millions of dollars to businesses. Therefore it is of utmost importance to monitor the health of high voltage assets. This research presents the development process of a Partial Discharge (PD) device that is able to detect PD acoustic waves for monitoring high voltage assets purposes. Medium voltage Cross-Linked Polyethylene (XLPE) cable was used which was introduced with spherical void defects at the joints of the cable that functioned to produce PD acoustic waves. Outcome of the development processes provides the finished design of the PD sensing device, known as Partial Discharge Detection (PDD) device. The functionality of the PDD device was also assessed through controlled experimentations, and they proved to be successful. Pure PD waveform captured by the ultrasonic sensor was similar when compared to a HFCT sensor’s pure PD waveform. The PDD device is a small and affordable, and is opened to various improvements such as integrating Artificial Intelligence (AI) unto the device, and one day may replace most existing bulky and expensive PD sensing devices that are readily available in the market.


Rapid growth in power system has created the opportunity in the field of materials to ensure reliable operation of various equipments throughout their operating life span. Due to the cumulative effects of mechanical, chemical and electrical stresses caused by the partial discharge (PD), insulation gradually degrades. Partial Discharge tests ensure the good quality of cable insulation like cross-linked polyethylene (XLPE) under high voltage conditions. This paper describes the results of a real testing based experiment of Partial Discharge with XLPE cable. Under the application of different voltages, the breakdown level of cable insulation is checked in the laboratory experimental setup. The MATLAB Simulink architecture of test system with PD structure is constructed in correlation with laboratory experiments. The results of both the simulation and the laboratory experiment have been compared in this work. The standard deviation and percentage error are calculated for the simulated and experimental data.


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