DocumentCode
1107036
Title
Power Grid Analysis and Optimization Using Algebraic Multigrid
Author
Zhuo, Cheng ; Hu, Jiang ; Zhao, Min ; Chen, Kangsheng
Author_Institution
Univ. of Michigan, Ann Arbor
Volume
27
Issue
4
fYear
2008
fDate
4/1/2008 12:00:00 AM
Firstpage
738
Lastpage
751
Abstract
This paper presents a class of power grid analysis and optimization techniques, all of which are based on the algebraic-multigrid (AMG) method. First, a new AMG-based reduction scheme is proposed to improve the efficiency of reducing the problem size for power grid analysis and optimization. Next, with the proposed reduction technique, a fast transient-analysis method is developed and extended to an accurate solver with error control mechanism. After that, the scope of this method is further broadened for handling the analysis of the modified grid. Finally, a fast decap-allocation (DA) scheme based on AMG is suggested. Experimental results show that these techniques not only achieve a significant speedup over reported industrial methods but also enhance the quality of solutions. By using the proposed techniques, transient analysis with 200 time steps on a 1.6-M-node power grid can be completed in less than 5 min; dc analysis on the same circuit can reach an accuracy of in about 141 s. Our DA can process a circuit with up to one million nodes in about 11 min.
Keywords
algebra; differential equations; optimisation; power grids; AMG-based reduction; algebraic multigrid; error control mechanism; fast decap-allocation scheme; fast transient-analysis; power grid analysis; power grid optimization; Circuits; Computer science education; Educational programs; Error correction; Information science; Noise robustness; Optimization methods; Power grids; Student members; Very large scale integration; Capacitance; multigrid; optimization; power grid; simulation;
fLanguage
English
Journal_Title
Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on
Publisher
ieee
ISSN
0278-0070
Type
jour
DOI
10.1109/TCAD.2008.917587
Filename
4475261
Link To Document