DocumentCode :
2462469
Title :
Automatic contingency analysis and classification
Author :
Chen, R.H. ; Gao, Jingde ; Malik, O.P. ; Wang, Shi-ying ; Xiang, Nian-de
Author_Institution :
Dept. of Electr. & Comput. Eng., Calgary Univ., Alta., Canada
fYear :
1996
fDate :
16-18 Apr 1996
Firstpage :
82
Lastpage :
86
Abstract :
An algorithmic and nonalgorithmic based automatic contingency analysis and classification (ACAC) method with physical analysis and emergency classification for power system security assessment is presented in this paper. The classification depends on a function which can describe the degree of system emergency in three dimensions. ACAC can minimize the number of missing harmful contingencies efficiently and gives accurate output in a condensed form
Keywords :
power system security; algorithmic based automatic contingency analysis; automatic contingency classification; emergency classification; load flow solutions; missing harmful contingencies minimisation; nonalgorithmic based automatic contingency analysis; power system emergency; power system security assessment; qualitative reasoning;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Power System Control and Management, Fourth International Conference on (Conf. Publ. No. 421)
Conference_Location :
London
ISSN :
0537-9989
Print_ISBN :
0-85296-653-9
Type :
conf
DOI :
10.1049/cp:19960241
Filename :
637763
Link To Document :
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