scholarly journals Turn-to-turn fault detection in transformers using negative sequence currents

2011 ◽  
Author(s):  
Mariya Babiy ◽  
Rama Gokaraju ◽  
Juan Carlos Garcia
Keyword(s):  
Fault Detection ◽  
Negative Sequence

scholarly journals Induction Motor Stator Interturn Short Circuit Fault Detection in Accordance with Line Current Sequence Components Using Artificial Neural Network

2019 ◽  
Vol 2019 ◽  
pp. 1-11
Author(s):  
Gayatridevi Rajamany ◽  
Sekar Srinivasan ◽  
Krishnan Rajamany ◽  
Ramesh K. Natarajan
Keyword(s):  
Neural Network ◽  
Fault Detection ◽  
Induction Motor ◽  
Short Circuit ◽  
Positive Sequence ◽  
Negative Sequence ◽  
Three Phase ◽  
Sequence Components ◽  
Negative Sequence Current ◽  
Short Circuit Fault

The intention of fault detection is to detect the fault at the beginning stage and shut off the machine immediately to avoid motor failure due to the large fault current. In this work, an online fault diagnosis of stator interturn fault of a three-phase induction motor based on the concept of symmetrical components is presented. A mathematical model of an induction motor with turn fault is developed to interpret machine performance under fault. A Simulink model of a three-phase induction motor with stator interturn fault is created for extraction of sequence components of current and voltage. The negative sequence current can provide a decisive and rapid monitoring technique to detect stator interturn short circuit fault of the induction motor. The per unit change in negative sequence current with positive sequence current is the main fault indicator which is imported to neural network architecture. The output of the feedforward backpropagation neural network classifies the short circuit fault level of stator winding.

scholarly journals Fault Detection and Protection of UHV Transmission Line Based on Negative Sequence Impedance Angle

2021 ◽  
Vol 598 ◽  
pp. 012100
Author(s):  
Mingjiu Pan ◽  
Chenlin Gu ◽  
Zhifang Yu ◽  
Jun Shan ◽  
Bo Liu ◽  
...  
Keyword(s):  
Fault Detection ◽  
Transmission Line ◽  
Negative Sequence

scholarly journals Fault detection of fault ride through for doubly-fed induction generator based wind energy systems

2021 ◽  
Author(s):  
Shoba AD Ramroop
Keyword(s):  
Fault Detection ◽  
Wind Energy ◽  
Energy System ◽  
Detection Algorithm ◽  
Protection System ◽  
Induction Generator ◽  
Doubly Fed Induction Generator ◽  
Sequence Detection ◽  
Negative Sequence ◽  
Doubly Fed

Fault detection and mitigation is of high importance for existing DFIG based wind energy conversion systems. Keeping the doubly-fed induction generator (DFIG) online during faults is desirable since reconnection can cause system instability. Grid disturbances induce large rotor currents at the machine side power electronic converter. The currents exceed the device ratings potentially causing damage. A stand alone active crowbar protection system is proposed in this project where the active crowbar is connected to the rotor windings providing a bypass path for the excessive current to dissipate across. The fault detection algorithm are developed using negative sequence detection method, which detected the negative sequence instantaneous power. The protecion system disconnects the converter from the system while activating crowbar for providing fault current circulation. The overall wind energy system with active crowbar was modelling in Matlab/Simulink and simulation results verify the functionality of the proposed protection system.

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