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
fDate :
30 Oct.-1 Nov. 2000
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;
Conference_Titel :
Advances in Power System Control, Operation and Management, 2000. APSCOM-00. 2000 International Conference on
Print_ISBN :
0-85296-791-8
DOI :
10.1049/cp:20000433
