PSO trained ANN-based differential protection scheme for power transformers

2008 ◽  
Vol 71 (4-6) ◽  
pp. 904-918 ◽  
Author(s):  
M. Geethanjali ◽  
S. Mary Raja Slochanal ◽  
R. Bhavani
Keyword(s):  
Power Transformers ◽  
Differential Protection ◽  
Protection Scheme

A New Adaptive Differential Protection Scheme for Tap Changing Power Transformer

2015 ◽  
Vol 16 (4) ◽  
pp. 339-348 ◽  
Author(s):  
Ashesh Mukeshbhai Shah ◽  
Bhavesh Bhalja
Keyword(s):  
Power Transformer ◽  
Detection Sensitivity ◽  
Power Transformers ◽  
Test Cases ◽  
Differential Protection ◽  
Protection Scheme ◽  
Differential Characteristic ◽  
Numerous Test ◽  
Internal Faults ◽  
Conventional Scheme

Abstract This paper presents a new adaptive differential protection scheme which efficiently adapts the change in tap position of a power transformer. The proposed scheme is based on analytical derivation of pick-up and slope of the differential relay characteristic. By acquiring information such as rating & connection of CTs and present tap position as input, the proposed scheme enhances sensitivity of differential relay during internal faults. This is accomplished either by decreasing pick-up and/or adjusting slope of the differential characteristic of the relay in case of change in tap position. Numerous test cases consisting of various types of internal and external faults have been simulated for an existing power transformer of Gujarat Energy Transmission Corporation Limited (GETCO), Gujarat, India using PSCAD/EMTDC software package. The proposed scheme increases percentage of winding to be protected during internal faults for power transformers having different ratings and connections compared to the conventional differential protection scheme. Furthermore, it has been observed that the detection sensitivity during special types of turn-to-turn and inter-winding faults with varying fault resistances is also enhanced compared to the conventional scheme. Moreover, it equally maintains stability during CT saturation condition. At the end, comparative evaluation of the proposed scheme with the existing schemes clearly indicates superiority of the proposed adaptive scheme.

Designing a composite deep learning based differential protection scheme of power transformers

2020 ◽  
Vol 87 ◽  
pp. 105975 ◽  
Author(s):  
Shahabodin Afrasiabi ◽  
Mousa Afrasiabi ◽  
Benyamin Parang ◽  
Mohammad Mohammadi
Keyword(s):  
Deep Learning ◽  
Power Transformers ◽  
Differential Protection ◽  
Protection Scheme

scholarly journals Differential protection scheme for power transformers using matched wavelets

2019 ◽  
Vol 13 (12) ◽  
pp. 2423-2437 ◽  
Author(s):  
Arpita Roy ◽  
Devender Singh ◽  
Rakesh Kumar Misra ◽  
Amit Singh
Keyword(s):  
Power Transformers ◽  
Differential Protection ◽  
Protection Scheme

A Novel Fuzzy Theory-Based Differential Protection Scheme for Transmission Lines

2020 ◽  
Vol 12 (8) ◽  
Author(s):  
Mahyar Abasi ◽  
◽  
Ahmad Torabi Farsani ◽  
Arash Rohani ◽  
Arsalan Beigzadeh ◽  
...  
Keyword(s):  
Transmission Lines ◽  
Fuzzy Theory ◽  
Differential Protection ◽  
Protection Scheme

scholarly journals System-based testing of a voltage differential protection scheme for shunt capacitor bank

2020 ◽  
Vol 6 ◽  
pp. 243-259
Author(s):  
Senthil Krishnamurthy ◽  
Ryan Jones ◽  
Manduleli Alfred Mquqwana
Keyword(s):  
Capacitor Bank ◽  
Differential Protection ◽  
Protection Scheme ◽  
Shunt Capacitor
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