A preconditioned iterative solver for dynamic simulation of power systems

Author

Pai, M.A. ; Sauer, P.W. ; Kulkarni, A.Y.

Author_Institution

Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA

Volume

2

fYear

1995

fDate

30 Apr-3 May 1995

Firstpage

1279

Abstract

In this paper the General Minimal Residual (GMRES) is applied for the dynamic simulation of a power system. GMRES is an iterative method belonging to the class of conjugate gradient methods which is well suited for parallelization and easily programmable. When used with an appropriate preconditioner speed ups are considerable compared to the LU factorisation method. Results on a workstation as well as a supercomputer are presented for a 10 machine 39 bus system to illustrate the speed ups

Keywords

conjugate gradient methods; matrix decomposition; power system analysis computing; power system stability; power system transients; sparse matrices; GMRES algorithm; conjugate gradient methods; dynamic simulation; general minimal residual; parallelization; power system model; power system simulation; preconditioned iterative solver; programmability; simulation speedup; simultaneous implicit approach; sparsity; supercomputer results; transient stability analysis; workstation results; Computational modeling; Computer simulation; Equations; Iterative methods; Jacobian matrices; Newton method; Power system dynamics; Power system simulation; Supercomputers; Uninterruptible power systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1995. ISCAS '95., 1995 IEEE International Symposium on

Conference_Location

Seattle, WA

Print_ISBN

0-7803-2570-2

Type

conf

DOI

10.1109/ISCAS.1995.520379

Filename

520379