NSF PAR Search | NSF Public Access Repository

Note: When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher. Some full text articles may not yet be available without a charge during the embargo (administrative interval).
What is a DOI Number?

Some links on this page may take you to non-federal websites. Their policies may differ from this site.

Data source authentication for wide-area synchrophasor measurements based on spatial signature extraction and quadratic kernel SVM

https://doi.org/10.1016/j.ijepes.2022.108083

Liu, Shengyuan; You, Shutang; Yin, He; Lin, Zhenzhi; Liu, Yilu; Cui, Yi; Yao, Wenxuan; Sundaresh, Lakshmi (September 2022, International Journal of Electrical Power & Energy Systems)

Full Text Available
Practical Event Location Estimation Algorithm for Power Transmission System Based on Triangulation and Oscillation Intensity

https://doi.org/10.1109/TPWRD.2022.3173974

Liu, Shengyuan; Sun, Kaiqi; Zeng, Chujie; You, Shutang; Li, Hongyu; Yu, Wenpeng; Deng, Xianda; Lin, Zhenzhi; Liu, Yilu (May 2022, IEEE Transactions on Power Delivery)

Full Text Available
Data-Driven Event Identification in the U.S. Power Systems Based on 2D-OLPP and RUSBoosted Trees

https://doi.org/10.1109/TPWRS.2021.3092037

Liu, Shengyuan; You, Shutang; Lin, Zhenzhi; Zeng, Chujie; Li, Hongyu; Wang, Weikang; Hu, Xuetao; Liu, Yilu (January 2022, IEEE Transactions on Power Systems)

Full Text Available
Data source authentication of synchrophasor measurement devices based on 1D-CNN and GRU

https://doi.org/10.1016/j.epsr.2021.107207

Liu, Shengyuan; You, Shutang; Zeng, Chujie; Yin, He; Lin, Zhenzhi; Dong, Yuqing; Qiu, Wei; Yao, Wenxuan; Liu, Yilu (July 2021, Electric Power Systems Research)
null (Ed.)
Full Text Available
Model-free Data Authentication for Cyber Security in Power Systems

https://doi.org/10.1109/TSG.2020.2986704

Liu, Shengyuan; You, Shutang; Yin, He; Lin, Zhenzhi; Liu, Yilu; Yao, Wenxuan; Sundaresh, Lakshmi (April 2020, IEEE Transactions on Smart Grid)

With the development and wide deployment of measurement equipment, data can be automatically measured and visualized for situation awareness in power systems. However, the cyber security of power systems is also threatened by data spoofing attacks. This letter proposed a measurement data source authentication (MDSA) algorithm based on feature extraction techniques including ensemble empirical mode decomposition (EEMD) and fast Fourier transform (FFT), and machine learning for real-time measurement data classification. Compared with previous work, the proposed algorithm can achieve higher accuracy of MDSA using a shorter window of data from closely located synchrophasor measurement sensors.
more » « less
Full Text Available

Search for: All records