scholarly journals Advances in Transmission Network Fault Location in Modern Power Systems: Review, Outlook and Future Works

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Habib Panahi ◽  
Reza Zamani ◽  
Majid Sanaye-Pasand ◽  
Hasan Mehrjerdi
2006 ◽  
Vol 21 (3) ◽  
pp. 1128-1136 ◽  
Author(s):  
K.-P. Lien ◽  
C.-W. Liu ◽  
C.-S. Yu ◽  
J.-A. Jiang

2014 ◽  
Vol 548-549 ◽  
pp. 851-854
Author(s):  
Li Bian ◽  
Chen Yuan Bian

A new method of fault diagnosis for power networks by using the combinatorial cross entropy (CCE) algorithm is proposed. The research contents in this paper mainly contain the two parts: transmission network fault diagnosis and distribution network fault location. For transmission network, the optimization model is built by considering the relationship among fault elements, action information of protective relays and circuit breakers. For distribution network, constructing fault location model according to the logic relationship between fault current and equipment condition. The optimal solution of two models are solved by CCE algorithm, then fault element (s) in transmission network and fault section (s) in distribution network can be identified by the optimal solution. Various fault conditions are simulated in test system and the results show that conclusions obtained by proposed method are correct, which prove CCE algorithm diagnose fault effectively.


2014 ◽  
Vol 8 (1) ◽  
pp. 916-921
Author(s):  
Yuan Yuan ◽  
Wenjun Meng ◽  
Xiaoxia Sun

To address deficiencies in the process of fault diagnosis of belt conveyor, this study uses a BP neural network algorithm combined with fuzzy theory to provide an intelligent fault diagnosis method for belt conveyor and to establish a BP neural network fault diagnosis model with a predictive function. Matlab is used to simulate the fuzzy BP neural network fault diagnosis of the belt conveyor. Results show that the fuzzy neural network can filter out unnecessary information; save time and space; and improve the fault diagnosis recognition, classification, and fault location capabilities of belt conveyor. The proposed model has high practical value for engineering.


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