DOUBLE CIRCUIT TRANSMISSION LINE PROTECTION AND FAULT CLASSIFICATION USING LINE TRAP AND ARTIFICIAL INTELLIGENCE

Authors

  • Aaditya P. Agarkar Student, EEE, VYWS Prof Ram Meghe College of Engineering and Management, Badnera, Amravati Maharashtra,India-444606.
  • Dr.S.B Mohod Assistant Professor, EEE, VYWS Prof Ram Meghe College of Engineering and Management, Badnera, Amravati Maharashtra,India-444606.

Keywords:

Double circuit transmission lines, MATLAB, Line Trap Network, Neural network

Abstract

The protection of double circuit transmission lines is a challenging task. The proposed work presents a protection technique based on the high-frequency transients generated by the fault to cover almost the total length of double circuit transmission lines. For this purpose, appropriately designed line traps are installed at terminals of the protected transmission line, and the Artificial Neural Network with suitable number of Neurons is used to classify the internal and external faults occur and which is based on the frequency spectrum of the current and voltage signals and identifying location and so therefore also it protect  the remaining transmission line

References

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Additional Files

Published

15-05-2017

How to Cite

Aaditya P. Agarkar, & Dr.S.B Mohod. (2017). DOUBLE CIRCUIT TRANSMISSION LINE PROTECTION AND FAULT CLASSIFICATION USING LINE TRAP AND ARTIFICIAL INTELLIGENCE. International Education and Research Journal (IERJ), 3(5). Retrieved from https://ierj.in/journal/index.php/ierj/article/view/919

Issue

Vol. 3 No. 5 (2017): MAY ISSUE, INTERNATIONAL EDUCATION AND RESEARCH JOURNAL

Section

Articles

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