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
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