The feasibility analysis of partial discharge location of XLPE cables based on traveling waves fault location technology

Author(s):  
Yongzhi Su ◽  
Yongduan Xue ◽  
Bingyin Xu ◽  
Liu Dong
2014 ◽  
Vol 134 (6) ◽  
pp. 428-429
Author(s):  
Junichi Kitajima ◽  
Tatsuya Sakoda ◽  
Kiyonori Watanabe

Author(s):  
R.L.A. Reis ◽  
F.V. Lopes ◽  
W.L.A. Neves ◽  
D. Fernandes Jr. ◽  
C.M.S. Ribeiro ◽  
...  

2014 ◽  
Vol 960-961 ◽  
pp. 1100-1103
Author(s):  
Guang Bin Zhang ◽  
Hong Chun Shu ◽  
Ji Lai Yu

Wavefront identification is important for traveling based fault location. In order to improve its reliability, a novel wavefront identification method based on Harris corner detector has been proposed in this paper. The principle of single-ended traveling wave fault location was briefly introduced at first, and the features of wavefronts generated by faults on transmission lines were analyzed. The arrival of traveling waves' wavefronts is considered as corner points in digital image of waveshape. The corner points can be extracted precisely by Harris corner detector, and both false corner points and non-fault caused disturbance can be eliminated according to the calculated distance between two neighbour corner points and the angle of the corner point. The proposed method is proved feasible and effective by digital simulated test.


Sensors ◽  
2019 ◽  
Vol 19 (15) ◽  
pp. 3435 ◽  
Author(s):  
Luiz Nobrega ◽  
Edson Costa ◽  
Alexandre Serres ◽  
George Xavier ◽  
Marcus Aquino

This paper presents an algorithm for the localisation of partial discharge (PD) sources in power transformers based on the electromagnetic waves radiated by a PD pulse. The proposed algorithm is more accurate than existing methods, since it considers the effects of the reflection, refractions and diffractions undergone by the ultra-high frequency (UHF) signal within the equipment tank. The proposed method uses computational simulations of the electromagnetic waves generated by PD, and obtains the time delay of the signal between each point in the 3D space and the UHF sensors. The calculated signals can be compared with the signals measured in the field, so that the position of the PD source can be located based on the best correlation between the simulated propagation delay and the measured data. The equations used in the proposed method are defined as a 3D optimisation problem, so that the binary particle swarm optimisation algorithm can be used. To test and demonstrate the proposed algorithm, computational simulations were performed. The solutions were sufficient to identify not only the occurrence of defects, but also the winding and the region (top, centre or base) in which the defect occurred. In all cases, an accuracy of greater than 15 cm was obtained for the location, in a 180 MVA three-phase transformer.


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