TY - GEN
T1 - Distribution fault location using wide-area voltage magnitude measurements
AU - Hossain, Shamina
AU - Zhu, Hao
AU - Overbye, Thomas
PY - 2013
Y1 - 2013
N2 - In an effort to increase situational awareness in the electric power grid, Wide-Area Measurement Systems (WAMS) are being implemented. These systems allow the capture of fastsampled voltage data such as frequency, voltage magnitude, and voltage angle measurements in a low-cost, easily deployable manner. Traditional fault location methods use both current and voltage data. Voltage monitoring devices only collect voltage data, but these sensors can collect this data anywhere along the distribution lines. An iterative simulation-based fault location method using only voltage measurements, from anywhere on the line, is proposed. This technique involves comparing a measured voltage profile of a specific fault type and phase with a calculated voltage profile obtained through simulation of such a fault occurring at various locations with a range of probable fault impedances in the system. The best match is determined using the Euclidean error norm criterion and a threshold error value. The algorithm is successfully demonstrated using a PowerWorld case study.
AB - In an effort to increase situational awareness in the electric power grid, Wide-Area Measurement Systems (WAMS) are being implemented. These systems allow the capture of fastsampled voltage data such as frequency, voltage magnitude, and voltage angle measurements in a low-cost, easily deployable manner. Traditional fault location methods use both current and voltage data. Voltage monitoring devices only collect voltage data, but these sensors can collect this data anywhere along the distribution lines. An iterative simulation-based fault location method using only voltage measurements, from anywhere on the line, is proposed. This technique involves comparing a measured voltage profile of a specific fault type and phase with a calculated voltage profile obtained through simulation of such a fault occurring at various locations with a range of probable fault impedances in the system. The best match is determined using the Euclidean error norm criterion and a threshold error value. The algorithm is successfully demonstrated using a PowerWorld case study.
KW - WAMS
KW - distribution system
KW - fault location
KW - voltage monitoring
UR - http://www.scopus.com/inward/record.url?scp=84893326001&partnerID=8YFLogxK
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U2 - 10.1109/NAPS.2013.6666936
DO - 10.1109/NAPS.2013.6666936
M3 - Conference contribution
AN - SCOPUS:84893326001
SN - 9781479912551
T3 - 45th North American Power Symposium, NAPS 2013
BT - 45th North American Power Symposium, NAPS 2013
T2 - 45th North American Power Symposium, NAPS 2013
Y2 - 22 September 2013 through 24 September 2013
ER -