TY - JOUR
T1 - Protection Scheme using Wavelet-Alienation-Neural Technique for UPFC Compensated Transmission Line
AU - Rathore, Bhuvnesh
AU - Mahela, Om Prakash
AU - Khan, Baseem
AU - Padmanaban, Sanjeevikumar
PY - 2021
Y1 - 2021
N2 - Fault analysis (detection, classification and location) of transmission network is of great importance in power system. A Wavelet-Alienation-Neural (WAN) technique has been developed for the fault analysis of Unified Power Flow Controller (UPFC) compensated transmission network. The detection and classification of various outages are accomplished by alienation of wavelet based approximate coefficients computed from current signals. The precise location of faults is carried out by an Artificial Neural Network fed from estimated approximate coefficients computed from voltage and current signals of the same quarter cycle. The robustness of the algorithm is proved with the case studies of varying fault locations, sampling frequency, system parameters, effects of noise, fault incipient angle, different control strategies and fault path impedances.
AB - Fault analysis (detection, classification and location) of transmission network is of great importance in power system. A Wavelet-Alienation-Neural (WAN) technique has been developed for the fault analysis of Unified Power Flow Controller (UPFC) compensated transmission network. The detection and classification of various outages are accomplished by alienation of wavelet based approximate coefficients computed from current signals. The precise location of faults is carried out by an Artificial Neural Network fed from estimated approximate coefficients computed from voltage and current signals of the same quarter cycle. The robustness of the algorithm is proved with the case studies of varying fault locations, sampling frequency, system parameters, effects of noise, fault incipient angle, different control strategies and fault path impedances.
KW - Fault detection
KW - fault classification
KW - fault location
KW - unified power flow controller (UPFC)
UR - http://www.scopus.com/inward/record.url?scp=85099733030&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2021.3052315
DO - 10.1109/ACCESS.2021.3052315
M3 - Journal article
SN - 2169-3536
VL - 9
SP - 13737
EP - 13753
JO - IEEE Access
JF - IEEE Access
M1 - 9328115
ER -