International Journal of Industrial Electronics and Electrical Engineering(IJIEEE).
Paper Title - Fault Detection In EHV Transmission Line Using Singular Value Decomposition
Extra high voltage (EHV) transmission line network plays an important role in transmission line system. To
maintain continuity and stability in extra high voltage transmission lines we have to detect the fault as fast as possible. The
main challenge is to detect the faults which arise in EHV transmission line systems more efficiently. In this paper singular
value decomposition (SVD) technique is used to detect the faults. SVD is a mathematical technique which reduces the risk
of magnifying noise and more robust to numerical error. Also SVD can detect the faults in EHV lines even in high resistance
conditions. MATLAB results are compared with discrete wavelet transformation (DWT) technique and its results shows
effectiveness of this method. The performance of the proposed algorithm is tested under variety of fault conditions on a
typical 500kv transmission line.
Index terms — Extra high voltage (EHV) transmission line, fault detection, discrete wavelet transform, singular value
Author - Lakshmi. Ch, S. Rajasekhar Reddy
Citation - Lakshmi. Ch ,
S. Rajasekhar Reddy ,
Lakshmi. Ch, S. Rajasekhar Reddy " Fault Detection In EHV Transmission Line Using Singular Value Decomposition " ,
International Journal of Industrial Electronics and Electrical Engineering (IJIEEE) , Volume-3, Issue-7 ( Jul, 2015 )