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