An Online Faulty Sub-Feeder Identification Method for the NUGS Single-Phase Earth Fault Based on the Faulty Phase Current Feature Recognition

2018 ◽  
Vol 13 (2) ◽  
pp. 226-236
Author(s):  
Xiangning Lin ◽  
Peng Liu ◽  
Ran Lyu ◽  
Zhengtian Li ◽  
Hanli Weng ◽  
...  
2021 ◽  
Vol 105 ◽  
pp. 151-158
Author(s):  
Shi Qin Zhao ◽  
Rong Jia Cen ◽  
Chun Qing Shi

The existing high-density distributed distribution network single-phase earth fault interval location method has the disadvantage of long positioning time. Hence, a single-phase earth fault interval positioning method for high-density distributed distribution network is proposed to solve this problem. In order to accurately locate the single-phase earth fault interval of distribution network, zero-order equivalent model of distribution network is built at first. Next the clustering algorithm is used to extract the single-phase earth fault characteristics, while the single-phase earth fault phase current increment is calculated by using the analysis method to obtain the single-phase earth fault phase current increment law. Then a fault-maximum interval T-shaped structure is built to divide the potential fault interval. Finally, the S-transformation is applied to accurately locate the single-phase earth fault interval, and the localization of the single-phase earth fault interval of the high-density distributed distribution network is achieved. The experimental results show that comparing with the existing high-density distributed distribution network single-phase earth fault interval positioning method, the proposed high-density distributed distribution network single-phase earth fault interval positioning method dramatically reduces the positioning time. It is fully explained that the proposed method in this article has a better positioning effect.


2012 ◽  
Vol 132 (3) ◽  
pp. 452-453
Author(s):  
Yasuhiko Neba ◽  
Hirokazu Matsumoto ◽  
Ryozo Itoh ◽  
Kouichi Ishizaka ◽  
Koichiro Hashimoto ◽  
...  

1998 ◽  
Vol 13 (4) ◽  
pp. 1086-1092 ◽  
Author(s):  
Zhang Qingchao ◽  
Zhang Yao ◽  
Song Wennan ◽  
Fang Dazhong

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