An Artificial Neural Network Based Digital Differential Protection Scheme for Synchronous Generator Stator Winding Protection

Authors

  • Muhammad Faisal Riaz NFC Institute of Engineering and Technology, Multan
  • Fawwad Hassan Jaskani Islamia University of Bahawalpur image/svg+xml
  • Tehreem Awan NFC Institute of Engineering and Technology

DOI:

https://doi.org/10.4108/eai.30-1-2019.160837

Keywords:

ANN, Winding Protection, Neural Networks

Abstract

This research depicts another artificial neural network (ANN) based digital differential protection scheme for generator stator winding protection. The scheme incorporates two feedforward neural networks (FNNs). One ANN is utilized for flaw recognition and the other is utilized for inward deficiency grouping. This structure utilizes current examples from the line-side and the unbiased end notwithstanding tests from the field current. Essential and/or second consonant present in the field current during an issue help the ANN, utilized for flaw location, to separate between generator states (typical, outside issue and interior deficiency states). Results demonstrating the performance of the protection scheme are displayed and show that it is quick and solid.

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Published

30-01-2019

How to Cite

1.
Faisal Riaz M, Jaskani FH, Awan T. An Artificial Neural Network Based Digital Differential Protection Scheme for Synchronous Generator Stator Winding Protection. EAI Endorsed Trans Creat Tech [Internet]. 2019 Jan. 30 [cited 2024 Apr. 18];6(18):e5. Available from: https://publications.eai.eu/index.php/ct/article/view/1485