Partial discharge location in power transformers using the spectra of the terminal current signals

Author(s):  
Z.D. Wang
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.


2006 ◽  
Vol 13 (6) ◽  
pp. 1193-1199 ◽  
Author(s):  
Zhiguo Tang ◽  
Chengrong Li ◽  
Xu Cheng ◽  
Wei Wang ◽  
Jinzhong Li ◽  
...  

2000 ◽  
Vol 147 (5) ◽  
pp. 249-255 ◽  
Author(s):  
Z.D. Wang ◽  
D.H. Zhu ◽  
P.A. Crossley ◽  
K.J. Cornick

Materials ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1385
Author(s):  
Vladimir Polužanski ◽  
Nenad Kartalović ◽  
Boško Nikolić

In this paper, the influence of the variation in transformer oil temperature on the accuracy of the all-acoustic non-iterative method for partial discharge location in a power transformer is researched. The research can improve power transformers’ testing and monitoring, particularly given the large transformer oil temperature variations during real-time monitoring. The research is based on quantifying the contribution of oil temperature to the standard combined measurement uncertainty of the non-iterative algorithm by using analytical, statistical, and Monte Carlo methods. The contribution can be quantified and controlled. The contribution varied significantly with different mutual placements of partial discharge and acoustic sensors. The correlation between the contribution and the mean distance between partial discharge and acoustic sensors was observed. Based on these findings, the procedure to quantify and control the contribution in practice was proposed. The procedure considers the specificity of the method’s mathematical model (the assumption that the oil temperature is constant), the non-iterative algorithm’s nonlinearity, and the large variations in transformer oil temperature. Existing studies did not consider the significant effect of the oil temperature on the combined measurement uncertainty of partial discharge location influenced by those phenomena. The research is limited to partial discharge located in the transformer oil.


2014 ◽  
Vol 134 (6) ◽  
pp. 428-429
Author(s):  
Junichi Kitajima ◽  
Tatsuya Sakoda ◽  
Kiyonori Watanabe

2021 ◽  
pp. 1-1
Author(s):  
Sajjad Sharifinia ◽  
Mehdi Allahbakhshi ◽  
Teymoor Ghanbari ◽  
Asghar Akbari ◽  
Hassan Reza Mirzaei

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