TY - GEN
T1 - State estimation in distribution system considering effects of AMI data
AU - Jia, Ziyu
AU - Chen, Jiaxiong
AU - Liao, Yuan
PY - 2013
Y1 - 2013
N2 - State Estimation (SE), being a key component of Energy Management Systems (EMS), plays an essential role in operating power distribution systems. The Weighted Least Squares (WLS) based methods, among many others, have been most widely used in conventional distribution system state estimation. The increasing deployment of Advanced Metering Infrastructure (AMI), which provides more frequent measurements from more points, enables improvement for the WLS state estimators. This paper aims at quantifying the impacts of AMI data on a typical WLS state estimator, through simulation on a 16-bus overhead radial system under various conditions. Beyond demonstrating the improvement in estimation accuracy, our evaluations quantitatively characterize the behavior of WLS estimator leveraged with AMI data.
AB - State Estimation (SE), being a key component of Energy Management Systems (EMS), plays an essential role in operating power distribution systems. The Weighted Least Squares (WLS) based methods, among many others, have been most widely used in conventional distribution system state estimation. The increasing deployment of Advanced Metering Infrastructure (AMI), which provides more frequent measurements from more points, enables improvement for the WLS state estimators. This paper aims at quantifying the impacts of AMI data on a typical WLS state estimator, through simulation on a 16-bus overhead radial system under various conditions. Beyond demonstrating the improvement in estimation accuracy, our evaluations quantitatively characterize the behavior of WLS estimator leveraged with AMI data.
KW - AMI
KW - WLS state estimation
KW - distribution system
KW - estimation accuracy
UR - https://www.scopus.com/pages/publications/84883246978
UR - https://www.scopus.com/pages/publications/84883246978#tab=citedBy
U2 - 10.1109/SECON.2013.6567406
DO - 10.1109/SECON.2013.6567406
M3 - Conference contribution
AN - SCOPUS:84883246978
SN - 9781479900527
T3 - Conference Proceedings - IEEE SOUTHEASTCON
BT - IEEE SoutheastCon 2013
T2 - IEEE SoutheastCon 2013: Moving America into the Future
Y2 - 4 April 2013 through 7 April 2013
ER -