Quickest detection of short-term voltage instability with PMU measurements

Author

Vakili, Sattar ; Qing Zhao ; Lang Tong

Author_Institution

Univ. of California, Davis, Davis, CA, USA

fYear

2015

fDate

19-24 April 2015

Firstpage

3901

Lastpage

3905

Abstract

The quickest detection of short-term voltage instability in a smart grid is considered. The problem is formulated as a binary sequential composite hypothesis testing where the null hypothesis is a non-stationary process with an unknown exponentially decaying mean and the alternative is a nonstationary process with an unknown exponentially increasing mean. A sequential generalized likelihood ratio test (SGLRT) is proposed and analyzed. It is shown that the proposed SGLRT is asymptotically optimal.

Keywords

phasor measurement; power system stability; smart power grids; voltage control; PMU measurements; binary sequential composite hypothesis testing; exponentially decaying mean; nonstationary process; null hypothesis; sequential generalized likelihood ratio test; short term voltage instability detection; smart power grid; Asymptotic stability; Delays; Indexes; Phasor measurement units; Smart grids; Testing; Upper bound; Lyapunov exponents; Sequential hypothesis testing; sequential generalized likelihood ratio test; voltage instability;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on

Conference_Location

South Brisbane, QLD

Type

conf

DOI

10.1109/ICASSP.2015.7178702

Filename

7178702