@inproceedings{fec4758007784150a9a2f72403bdf927,
title = "Change detection in smart grids using errors in variables models",
abstract = "We consider fault detection through apparent changes in the bus susceptance parameters of modern power grids. We formulate the problem using a linear errors-invariables model and derive its corresponding generalized likelihood ratio (GLRT) based on the total least squares (TLS) methodology. Next, we propose a competing detection technique based on the recently proposed total maximum likelihood (TML) framework. We derive the so called TML-GLRT, and show that it can be interpreted as a regularized TLS-GLRT. Numerical simulations in a noisy smart grid setting illustrate the advantages of TML-GLRT over TLS-GLRT with no additional computational costs.",
keywords = "Change detection, errors-in-variables, generalized likelihood ratio test, smart grids, total least squares, total maximum likelihood",
author = "Chuanming Wei and Ami Wiesel and Blum, \{Rick S.\}",
year = "2012",
doi = "10.1109/SAM.2012.6250460",
language = "الإنجليزيّة",
isbn = "9781467310710",
series = "Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop",
pages = "17--20",
booktitle = "2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012",
note = "2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012 ; Conference date: 17-06-2012 Through 20-06-2012",
}
