DocumentCode :
648203
Title :
Power system online security operational trend analysis and simulation results
Author :
Feng Zhao ; Qinglai Guo ; Hongbin Sun ; Mengxia Wang ; Bin Wang
Author_Institution :
Dept. of Electr. Eng., Tsinghua Univ., Beijing, China
fYear :
2013
fDate :
21-25 July 2013
Firstpage :
1
Lastpage :
15
Abstract :
A novel power system online security operational trend analysis method is proposed in this paper. Based on the online operational mode and ultra-short term forecast operational mode (15mins later), the worst contingency set is determined as the union of the worst contingency in online and ultra-short term forecast operational mode, and the power system security evaluation indices are given out online for different security subject, such as voltage stability, critical interface stability, and transient stability. Simulation results on IEEE 39-bus system show that the proposed method can determine the worst contingency set and security evaluation index online accurately, reduce the number of contingencies, and improve security analysis efficiency.
Keywords :
power system security; power system transient stability; IEEE 39 bus system; critical interface stability; online operational mode; power system online security operational trend analysis; transient stability; ultrashort term forecast operational mode; voltage stability; contingency set; operational trend analysis; power system; security assessment; security evaluation index;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location :
Vancouver, BC
ISSN :
1944-9925
Type :
conf
DOI :
10.1109/PESMG.2013.6672773
Filename :
6672773
Link To Document :
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