Title :
State estimation in distribution system considering effects of AMI data
Author :
Ziyu Jia ; Jiaxiong Chen ; Yuan Liao
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Kentucky, Lexington, KY, USA
Abstract :
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.
Keywords :
distribution networks; energy management systems; least squares approximations; power system measurement; power system state estimation; 16-bus overhead radial system; AMI data; EMS; WLS state estimators; advanced metering infrastructure; distribution system state estimation; energy management systems; estimation accuracy; power distribution systems; power system state estimation; weighted least squares; Accuracy; Fluctuations; Load flow; Measurement uncertainty; State estimation; Vectors; AMI; WLS state estimation; distribution system; estimation accuracy;
Conference_Titel :
Southeastcon, 2013 Proceedings of IEEE
Conference_Location :
Jacksonville, FL
Print_ISBN :
978-1-4799-0052-7
DOI :
10.1109/SECON.2013.6567406
