Abstract
This paper applies the BDF-GMRES methods for solving the Differential Algebraic Equations (DAEs) associated to the simulation of short and long-term dynamics in power systems. The investigations are concentrated on the construction of a fine ILU-GMRES preconditioner for solving efficiently not only the well-conditioned coefficient matrices but specially the ill-ones. It is shown that, if the image matrix (preconditioner origin) is firstly preprocessed (scaled, normalized and reordered), a high quality ILU preconditioner is achieved. Numerical experiments considering different test-systems and different operation conditions illustrate how tricky can be the simulation of power system dynamics if the Jacobian matrix (coefficient matrix) is ill-conditioned, normally associated to an adverse operation condition. It is shown that a traditional implicit integration method may fail in this case, whereas the combination BDF-GMRES presents an outstanding performance.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Electrical Power and Energy Systems
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
