TY - GEN
T1 - A PMU-based Fault Location Identification Using Principal Component Analysis
AU - Ma, Rui
AU - Eftekharnejad, Sara
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/8
Y1 - 2019/8
N2 - Accurate and rapid fault localization for transmission line faults is essential for power system protection and maintenance. In this paper, a PMU-based algorithm for locating transmission line faults is proposed. By employing Principal Component Analysis (PCA) method on line current time series data, fault region is firstly identified. The pre-fault and during-fault positive sequence voltage measurements are then utilized to estimate unknown bus voltages through least square method and therefore determine exact fault location within the fault region. Different fault resistances and four types of fault, namely, single line to ground fault, double line to ground fault, line to line fault and three-phase balanced faults are used to evaluate the effectiveness of the method on the IEEE 14-bus system as well as the IEEE 30-bus system. Additionally, the impact of noise on PMU measurements is investigated to assess the robustness of the proposed method.
AB - Accurate and rapid fault localization for transmission line faults is essential for power system protection and maintenance. In this paper, a PMU-based algorithm for locating transmission line faults is proposed. By employing Principal Component Analysis (PCA) method on line current time series data, fault region is firstly identified. The pre-fault and during-fault positive sequence voltage measurements are then utilized to estimate unknown bus voltages through least square method and therefore determine exact fault location within the fault region. Different fault resistances and four types of fault, namely, single line to ground fault, double line to ground fault, line to line fault and three-phase balanced faults are used to evaluate the effectiveness of the method on the IEEE 14-bus system as well as the IEEE 30-bus system. Additionally, the impact of noise on PMU measurements is investigated to assess the robustness of the proposed method.
KW - Fault location
KW - Phasor Measurement Units (PMUs)
KW - Principal Component Analysis (PCA)
UR - http://www.scopus.com/inward/record.url?scp=85079071964&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85079071964&partnerID=8YFLogxK
U2 - 10.1109/PESGM40551.2019.8974013
DO - 10.1109/PESGM40551.2019.8974013
M3 - Conference contribution
AN - SCOPUS:85079071964
T3 - IEEE Power and Energy Society General Meeting
BT - 2019 IEEE Power and Energy Society General Meeting, PESGM 2019
PB - IEEE Computer Society
T2 - 2019 IEEE Power and Energy Society General Meeting, PESGM 2019
Y2 - 4 August 2019 through 8 August 2019
ER -