Quickest detection of short-term voltage instability with PMU measurements

Sattar Vakili; Qing Zhao; Lang Tong

ICASSP 2015accepted0 citations

Quickest detection of short-term voltage instability with PMU measurements

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.

BibTeX

@inproceedings{icassp2015_quickestdetectio,
  title = {Quickest detection of short-term voltage instability with PMU measurements},
  author = {Sattar Vakili and Qing Zhao and Lang Tong},
  booktitle = {ICASSP 2015},
  year = {2015}
}