DocumentCode
3491718
Title
A real-time transient stability assessment scheme for large-scale power systems based on fuzzy reasoning
Author
Guan, L. ; Tso, S.K.
Author_Institution
Electr. Power Coll., South China Univ. of Technol., Guangzhou, China
Volume
2
fYear
2000
fDate
30 Oct.-1 Nov. 2000
Firstpage
410
Abstract
A novel multi-layer TSA scheme is presented in this paper to tackle the fast transient stability assessment (TSA) problem for large-scale power systems. A sample-based correlation algorithm is proposed for screening the input attributes. Identification of the critical clustering and estimation of the stability level and CCT based on fuzzy reasoning are realized. Simulation tests confirm the feasibility and advantages of the proposed method.
Keywords
control system analysis computing; fuzzy logic; inference mechanisms; large-scale systems; power system analysis computing; power system control; power system transient stability; real-time systems; control simulation; critical clustering identification; fuzzy reasoning; input attributes screening; large-scale power systems; real-time transient stability assessment; sample-based correlation algorithm; stability level;
fLanguage
English
Publisher
iet
Conference_Titel
Advances in Power System Control, Operation and Management, 2000. APSCOM-00. 2000 International Conference on
Print_ISBN
0-85296-791-8
Type
conf
DOI
10.1049/cp:20000433
Filename
950382
Link To Document