Title :
On convergence analysis and convergence enhancement of power system least-squares state estimators
Author :
van Amerongen, R.A.M.
Author_Institution :
Fac. of Electr. Eng., Delft Univ. of Technol., Netherlands
Abstract :
This paper analyses the convergence behavior of the least-squares state estimator. It is shown that the standard algorithm based on the Gauss-Newton method ignores second-order information. Under some conditions this information is essential for a good convergence. Examples show that an algorithm based on Newton´s method reveals a more robust character.
Keywords :
Newton method; convergence of numerical methods; power system state estimation; Newton´s method; convergence analysis; convergence enhancement; least-squares state estimators; power system; second-order information; Algorithm design and analysis; Convergence; Equations; Least squares methods; Newton method; Noise measurement; Power measurement; Power system analysis computing; Recursive estimation; State estimation;
Journal_Title :
Power Systems, IEEE Transactions on
