• ASHISH NARAYAN RANGADE
• Ms. Reshmita Sharma,

Abstract: The most cost-effective way of mitigating this instability problem is to use protection scheme called ANN, to provide a protection scheme for detection and classification of open conductor fault. The main objective of this paperwork is to detect and classify they open conductor fault by designing and implementing ANN based protection scheme in the parallel transmission line. A 765 kV double circuit transmission line of 300 km length has been simulated using the MATLAB@13.0.1 software. A single neural network for fault distance location for all the seven types of open conductor fault (A1, B1, C1, A1B1, B1C1, A1C1, A1B1C1) in both the circuit of a doubly feded transmission line fed from sources at both the end. This technique detects and classify and locating the various fault and is achieved after one cycle from the inception of fault.

Index Terms -Parallel Transmission Lines, Open Conductors Faults, Neural Network, Fault Detection and Classification.

"DETECTION AND CLASSIFICATION OF OPEN CONDUCTOR FAULTS IN TWO CIRCUIT PARALLEL TRANSMISSION LINE USING ARTIFICIAL NEURAL NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.720-726, June-2018, Available :http://www.jetir.org/papers/JETIR1806791.pdf

"DETECTION AND CLASSIFICATION OF OPEN CONDUCTOR FAULTS IN TWO CIRCUIT PARALLEL TRANSMISSION LINE USING ARTIFICIAL NEURAL NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp720-726, June-2018, Available at : http://www.jetir.org/papers/JETIR1806791.pdf