Detection of false data injection attacks using unscented Kalman filter-Reference-Cited by-同舟云学术

Detection of false data injection attacks using unscented Kalman filter

Published:2018-05-07 Issue:5 Volume:6 Page:847-859
ISSN:2196-5625
Container-title:Journal of Modern Power Systems and Clean Energy
language:en
Short-container-title:J. Mod. Power Syst. Clean Energy

Author:

ŽIVKOVIĆ Nemanja,SARIĆ Andrija T.

Publisher

Springer Science and Business Media LLC

Subject

Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Link

http://link.springer.com/article/10.1007/s40565-018-0413-5/fulltext.html

Reference44 articles.

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3. Meserve J (2007) Sources: staged cyber attack reveals vulnerability in power grid. http://edition.cnn.com/2007/US/09/26/power.at.risk/ . Accessed 2 April 2017

4. Abur A, Exposito A (2004) Power system state estimation: theory and implementation. CRC Press, New York

5. Mili L, Cutsem TV, Ribbens-Pavella M (1984) Hypothesis testing identification: a new method for bad data analysis in power system state estimation. IEEE Trans Power Appar Syst 103(11):3239–3252

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