RT Journal Article
A1 A. Jahic
AD Fac. of Electr. Eng., Univ. of Tuzla, Tuzla
A1 T. Konjic
AD Fac. of Electr. Eng., Univ. of Tuzla, Tuzla
A1 A. Jahic
AD Univ. of Appl. Sci. Offenburg, Offenburg

PB iet
T1 Forecast-aided distribution system state estimation
JN IET Conference Proceedings
SP 31 (5 .)
OP 31 (5 .)
AB This paper presents Forecast-Aided Distribution System State Estimation algorithm based on the Unscented Kalman Filter. It uses pseudo-measurements based on the forecasted load profiles and previous state estimation, in conjunction with optimally placed limited number of load active and reactive power measurements. Presented estimation results are obtained by simulations on a 33 node test system using forty one day hourly load data. Results obtained using a test system are showing that this algorithm can make good estimate of the voltage amplitude even with high error of the forecasted loads.
K1 voltage amplitude
K1 unscented Kalman filter
K1 forecast-aided distribution system state estimation algorithm
K1 33 node test system
K1 reactive power measurements
K1 forecasted load profiles
K1 pseudomeasurement
DO https://doi.org/10.1049/cp.2016.1020
UL https://digital-library.theiet.org/;jsessionid=el9k9egcdmq2j.x-iet-live-01content/conferences/10.1049/cp.2016.1020
LA English
SN
YR 2016
OL EN