Title :
Parallel domain decomposition for simulation of large-scale power grids
Author :
Sun, Kai ; Zhou, Quming ; Mohanram, Kartik ; Sorensen, Danny C.
Author_Institution :
Rice Univ., Houston
Abstract :
This paper presents fully parallel domain decomposition (DO) techniques for efficient simulation of large-scale linear circuits such as power grids. DD techniques that use non-overlapping and overlapping partitioning of power grids are described in this paper. Simulation results show that with the proposed parallel DD framework, existing linear circuit simulators can be extended to handle large-scale power grids. Results for circuits with more than four million nodes indicate that parallel DD with LU factorization is most suitable for power grid simulation. However, for densely connected power grids, parallel DD with additive Schwarz preconditioning offers maximum scalability and best performance.
Keywords :
circuit simulation; integrated circuit design; matrix decomposition; power grids; LU factorization; additive Schwarz preconditioning; large-scale linear circuit simulation; large-scale power grid simulation; nonoverlapping partitioning; parallel domain decomposition; Circuit simulation; Computational modeling; Computer simulation; Concurrent computing; Grid computing; Large-scale systems; Linear circuits; Power grids; Power systems; Scalability;
Conference_Titel :
Computer-Aided Design, 2007. ICCAD 2007. IEEE/ACM International Conference on
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4244-1381-2
Electronic_ISBN :
1092-3152
DOI :
10.1109/ICCAD.2007.4397243