DocumentCode :
2044814
Title :
A comparative study of two model order reduction approaches for application in power systems
Author :
Ghosh, S. ; Senroy, N.
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol. Delhi, New Delhi, India
fYear :
2012
fDate :
22-26 July 2012
Firstpage :
1
Lastpage :
8
Abstract :
The objective of this paper, is to compare two mathematical model order reduction (MOR) approaches - Balanced Truncation and Krylov subspace. The application of these approaches to large power systems is studied. The main focus has been to show how the two approaches are effective in finding dynamic patterns such as coherency between generators. The performance has been studied under changing system damping conditions.
Keywords :
power systems; Krylov subspace; MOR approaches; balanced truncation; damping conditions; dynamic patterns; mathematical model order reduction approaches; power systems; Generators; Mathematical model; Observability; Power system dynamics; Power system stability; Reduced order systems; Vectors; Balanced Truncation (BT); Hankel Singular Values (HSV); Krylov subspace; Model order reduction (MOR);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location :
San Diego, CA
ISSN :
1944-9925
Print_ISBN :
978-1-4673-2727-5
Electronic_ISBN :
1944-9925
Type :
conf
DOI :
10.1109/PESGM.2012.6344785
Filename :
6344785
Link To Document :
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