Title
Critical investigation of preconditioned GMRES via incomplete LU factorization applied to power flow simulation
Date Issued
01 December 2011
Access level
metadata only access
Resource Type
journal article
Author(s)
Department of Electrical Engineering
Department of Electrical Engineering
Abstract
For solving the power flow sublinear problem efficiently by the GMRES preconditioned via incomplete LU factorization (ILU), this paper investigates causes associated to the preconditioner low quality and proposes a method to improve it and the GMRES convergence rate as well. The goal is provide a well-organized ILU-GMRES for solving linear systems of difficult solution comprising ill-conditioned coefficient matrices, normally associated to heavy load power systems. The investigations reveal that a dropping rule for nonzero elements (fill-ins) based on a relative tolerance may introduce large errors during the preconditioner construction, lowering its quality and the GMRES performance. Based on that, it is proposed a fill-in dropping rule making use of two criteria; one based on the resulting error and the other based on a relative tolerance, applied to the preconditioner lower (L) and upper (U) triangular matrices, respectively. Ordering schemes are also considered. Numerical experiments taking into account different power system configurations operating under heavy load conditions corroborate the efficiency of such strategies. © 2011 Elsevier Ltd. All rights reserved.
Start page
1695
End page
1701
Volume
33
Issue
10
Language
English
OCDE Knowledge area
Ingeniería eléctrica, Ingeniería electrónica
Subjects
Scopus EID
2-s2.0-80455143662
Source
International Journal of Electrical Power and Energy Systems
ISSN of the container
01420615
Sponsor(s)
The authors are grateful to the following for providing financial support to this work: Brazilian Federal Research Agency, CNPq , under the Grant PADCT 620097/2004-3 , and Brazilian North Utility – ELETRONORTE , under the Grant P&D 45000044031.
Sources of information:
Directorio de Producción Científica
Scopus