Inrush / Fault Current Detection for Accelerated Fault Clearance to Enhance Transformer Life

2019 ◽  
Author(s):  
K N Dinesh Babu ◽  
P K Garzava ◽  
Isaac Ramalla
Keyword(s):  
Fault Current ◽  
Fault Clearance ◽  
Current Detection

scholarly journals Fault Current Detection and Dangerous Voltages in DC Urban Rail Traction Systems

2017 ◽  
Vol 53 (4) ◽  
pp. 4109-4115 ◽  
Author(s):  
Enrico Pons ◽  
Riccardo Tommasini ◽  
Pietro Colella
Keyword(s):  
Fault Current ◽  
Urban Rail ◽  
Current Detection

scholarly journals Fault Current Tracing and Identification via Machine Learning Considering Distributed Energy Resources in Distribution Networks

Energies ◽  
2019 ◽  
Vol 12 (22) ◽  
pp. 4333 ◽  
Author(s):  
Wanghao Fei ◽  
Paul Moses
Keyword(s):  
Feature Space ◽  
Distribution Networks ◽  
Power Line ◽  
Support Vector ◽  
Fault Current ◽  
Distributed Energy ◽  
System Protection ◽  
Fault Currents ◽  
First Time ◽  
Current Detection

The growth of intermittent distributed energy sources (DERs) in distribution grids is raising many new operational challenges for utilities. One major problem is the back feed power flows from DERs that complicate state estimation for practical problems, such as detection of lower level fault currents, that cause the poor accuracy of fault current identification for power system protection. Existing artificial intelligence (AI)-based methods, such as support vector machine (SVM), are unable to detect lower level faults especially from inverter-based DERs that offer limited fault currents. To solve this problem, a current tracing method (CTM) has been proposed to model the single distribution feeder as several independent parallel connected virtual lines that traces the detailed contribution of different current sources to the power line current. Moreover, for the first time, the enhanced current information is used as the expanded feature space of SVM to significantly improve fault current detection on the power line. The proposed method is shown to be sensitive to very low level fault currents which is validated through simulations.

Implementation of Fault Current Detection System using IoT

2020 ◽  
Author(s):  
A Ravi ◽  
A Khandeswara Rao ◽  
P Pooja ◽  
Y Sai Krishna Reddy ◽  
G Krupa Kiran ◽  
...  
Keyword(s):  
Detection System ◽  
Fault Current ◽  
Current Detection

Fault Current Detection Based on Neural Network in Hybrid Circuit Breaker

2011 ◽  
Vol 204-210 ◽  
pp. 887-890 ◽  
Author(s):  
Yang Zhao ◽  
Yue Feng ◽  
Qi Yong Wen
Keyword(s):  
Neural Network ◽  
Short Circuit ◽  
Circuit Breaker ◽  
Detection Methods ◽  
Fault Current ◽  
Detection Circuit ◽  
Simulation Results ◽  
Short Circuit Fault ◽  
Current Detection ◽  
Hybrid Circuit

Power system short circuit and fault current detection circuit breaker is a hybrid produced the basis for action, rapid detection methods and effectiveness of a direct impact on the circuit breaker switch performance. In this paper neural network short-circuit fault current detection, the simulation results show that the method is effective and fast.

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