Hyperbolic S-transform-based method for classification of external faults, incipient faults, inrush currents and internal faults in power transformers

2012 ◽  
Vol 6 (10) ◽  
pp. 940 ◽  
Author(s):  
A. Ashrafian ◽  
M. Rostami ◽  
G.B. Gharehpetian
Keyword(s):  
Power Transformers ◽  
S Transform ◽  
Incipient Faults ◽  
Inrush Currents ◽  
Internal Faults ◽  
External Faults

The Identification of Internal and External Faults for ±800kV UHVDC Transmission Line Based on S-Transform and SVM

2012 ◽  
Vol 433-440 ◽  
pp. 7138-7144
Author(s):  
Hong Chun Shu ◽  
Xin Cui Tian ◽  
Yue Tao Dai
Keyword(s):  
High Frequency ◽  
Stop Band ◽  
Support Vector ◽  
Hvdc Transmission ◽  
S Transform ◽  
Voltage Signal ◽  
Internal Faults ◽  
Transient Voltage ◽  
Band Characteristic ◽  
External Faults

There is a smoothing reactor and DC filter between the inverter and the direct current line to form a boundary in the HVDC transmission system. Since this boundary presents the stop-band characteristic to the high frequency transient voltage signals, the high-frequency transient voltage signal caused by external faults through boundary will be attenuated and the signals caused by internal faults will be unchanged. In this paper, a new technique in which the combination of the S–transform and support vector machine (SVM) is used to analyze the transient signals, is proposed for distinguishing internal faults from the external faults based on the significantly difference of high-frequency transient voltage on the point of protection.

A Novel Approach for Classifying Transient Phenomena in Power Transformers

2004 ◽  
Vol 1 (2) ◽  
Author(s):  
El Sayed M. Tag Eldin
Keyword(s):  
Fuzzy Logic ◽  
Wavelet Transforms ◽  
Power Transformer ◽  
Current Transformer ◽  
Transient Phenomena ◽  
Protective Relay ◽  
Novel Approach ◽  
Inrush Currents ◽  
Internal Faults ◽  
External Faults

The role of a power transformer protective relay is to rapidly operate the tripping during internal faults and block the tripping during magnetizing inrush. This paper presents a new approach for classifying transient phenomena in power transformer, which may be implemented in digital relaying for transformer differential protection. Discrimination between internal faults, external faults with current transformer saturation and magnetizing inrush currents is achieved by combining wavelet transforms and fuzzy logic. The wavelet transform is applied for the analysis of the power transformer transient phenomena because of its ability to extract information from the transient signals in both time and frequency domain. Fuzzy logic is used because of the uncertainty in the differential current signals and relay settings. MATLAB power system toolbox is used to generate current signals at both sides of a power transformer in a typical system with various conditions. The simulation results obtained show that the new algorithm provides a high operating sensitivity for internal faults and remains stable for external faults and inrush currents.

A runs test-based method for discrimination between internal faults and inrush currents in power transformers

2010 ◽  
Vol 21 (3) ◽  
pp. 1392-1408 ◽  
Author(s):  
Bahador Fani ◽  
M. E. H. Golshan ◽  
H. A. Abyaneh ◽  
M. Saghaian-nejad
Keyword(s):  
Power Transformers ◽  
Inrush Currents ◽  
Internal Faults

A Comparative Study of the Application of Neural Networks and Decision Trees in the Classification of Incipient Faults in Power Transformers

2016 ◽  
Author(s):  
Luciana G. Castanheira ◽  
João A. de Vasconcelos ◽  
Agnaldo J. Rocha Reis ◽  
Paulo H. V. Magalhães ◽  
Sávio A. L. da Silva
Keyword(s):  
Neural Networks ◽  
Comparative Study ◽  
Decision Trees ◽  
Power Transformers ◽  
Incipient Faults

Application of neural networks in the classification of incipient faults in power transformers: A study of case

2011 ◽  
Author(s):  
Luciana G. Castanheira ◽  
Joao Antonio de Vasconcelos ◽  
Agnaldo J. Rocha Reis ◽  
Paulo H. V. Magalhaes ◽  
Savio A. Lopes da Silva
Keyword(s):  
Neural Networks ◽  
Power Transformers ◽  
Incipient Faults
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