DocumentCode :
276449
Title :
An artificial intelligence approach to transient stability assessment [of power systems]
Author :
Akella, Vijay Ahaskar ; Khincha, H.P. ; Kumar, R. Sreerama
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Sci., Bangalore, India
fYear :
1991
fDate :
5-8 Nov 1991
Firstpage :
359
Abstract :
An artificial intelligence approach to online transient stability assessment is briefly discussed, and some crucial requirements for this algorithm are identified. Solutions to these are proposed. Some new attributes are suggested so as to reflect machine dynamics and changes in the network. Also a new representative learning set algorithm has been developed
Keywords :
Lyapunov methods; artificial intelligence; learning systems; power system analysis computing; stability; Lyapunov methods; algorithm; artificial intelligence; learning set; machine dynamics; power system analysis computing; transient stability;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Advances in Power System Control, Operation and Management, 1991. APSCOM-91., 1991 International Conference on
Conference_Location :
IET
Print_ISBN :
0-86341-246-7
Type :
conf
Filename :
154099
Link To Document :
بازگشت