Title :
Impacts of load levels and topology errors on WLS state estimation convergence
Author :
Jiaxiong Chen ; Yuan Liao ; Bei Gou ; Yocum, K.
Author_Institution :
Univ. of Kentucky, Lexington, KY, USA
Abstract :
State estimation is important for real time power system monitoring and control. State estimation algorithms may suffer divergence under stressed system conditions. Understanding state estimation divergence characteristics is essential for designing more robust state estimation algorithm. This paper investigates impacts of variations of load levels and topology errors on the convergence property of the commonly used weighted least square (WLS) state estimator. The influence of topology errors on the condition number of the gain matrix in the state estimation is also analyzed. The effects of measurement standard deviations are studied. The IEEE 118-bus system is used as the test case and test results are reported.
Keywords :
IEEE standards; least squares approximations; power system control; power system measurement; power system state estimation; IEEE 118-bus system; WLS state estimation convergence property; gain matrix; load level evaluation impact; measurement standard deviation; real time power system control; real time power system monitoring; robust state estimation divergence characteristic; topology error influence; weighted least square state estimator convergence property; Convergence; Measurement uncertainty; Standards; State estimation; Topology; Vectors; Voltage measurement; Condition number; Divergence rate; Load increment; Topology error; WLS state estimation;
Conference_Titel :
North American Power Symposium (NAPS), 2012
Conference_Location :
Champaign, IL
Print_ISBN :
978-1-4673-2306-2
Electronic_ISBN :
978-1-4673-2307-9
DOI :
10.1109/NAPS.2012.6336329
