Title :
State estimation distributed processing [for power systems]
Author :
Ebrahimian, Reza ; Baldick, Ross
Author_Institution :
Texas Univ., Austin, TX, USA
fDate :
11/1/2000 12:00:00 AM
Abstract :
This paper presents an application of a parallel algorithm to power systems state estimation. The authors apply the auxiliary problem principle to develop a distributed state estimator, demonstrating its performance on the Electric Reliability Council of Texas (ERCOT) and the Southwest Power Pool (SPP) systems
Keywords :
parallel algorithms; power system analysis computing; power system state estimation; USA; auxiliary problem principle; computer simulation; distributed state estimator; estimation performance; parallel algorithm; power system state estimation distributed processing; Automatic control; Control systems; Distributed computing; Distributed processing; Equations; Maximum likelihood detection; Maximum likelihood estimation; Power system reliability; State estimation; Voltage;
Journal_Title :
Power Systems, IEEE Transactions on
