TY - JOUR
T1 - The influence of fault distribution on stochastic prediction of voltage sags
AU - Milanovic, J. V.
AU - Aung, M. T.
AU - Gupta, C. P.
N1 - ID number: ISI:000226066800038
PY - 2005
Y1 - 2005
N2 - This paper analyzes the influence of modeling of fault distribution along transmission line on the assessment of number and characteristics of voltage sags. The generic distribution network was used in all simulations. Different types of transformer winding connections were modeled and different (symmetrical and asymmetrical) types of faults were simulated. A line was selected from the previously identified area of vulnerability for a given bus and different faults having different distributions along the line were simulated. It was shown that depending on the fault distribution (uniform, normal, exponential) along the line, different numbers and characteristics of voltage sags could be expected at the selected bus.
AB - This paper analyzes the influence of modeling of fault distribution along transmission line on the assessment of number and characteristics of voltage sags. The generic distribution network was used in all simulations. Different types of transformer winding connections were modeled and different (symmetrical and asymmetrical) types of faults were simulated. A line was selected from the previously identified area of vulnerability for a given bus and different faults having different distributions along the line were simulated. It was shown that depending on the fault distribution (uniform, normal, exponential) along the line, different numbers and characteristics of voltage sags could be expected at the selected bus.
UR - http://dx.doi.org/10.1109/tpwrd.2004.835052
UR - https://www.scopus.com/pages/publications/12544254484
U2 - 10.1109/tpwrd.2004.835052
DO - 10.1109/tpwrd.2004.835052
M3 - Article
SN - 0885-8977
VL - 20
SP - 278
EP - 285
JO - IEEE Transactions on Power Delivery
JF - IEEE Transactions on Power Delivery
IS - 1
ER -