@inproceedings{541d630aa0b8497b877e91911c36cfc5,
title = "Detection of false data injection attacks on wide-area under-frequency load shedding protection schemes",
abstract = "In this paper, we first investigate the problem of cyber attacks on Wide-Area Protection (WAP) schemes. As a case for study, false data injection (FDI) attacks on wide-area Under-Frequency Load Shedding (UFLS) protection schemes are considered. Our analysis shows that attackers can drive the system out of stability by manipulating frequency measurements that are supplied to the control center by each local system. Then, we propose a detection strategy based on an unknown input estimator using Kalman filter, where frequencies as well as the power disturbance of system generators are estimated and compared with the received values. Then, a decision is made whether there is an attack or not based on the cumulative error residual. The effectiveness of the proposed approach in detecting FDI on wide-area UFLS protection schemes is confirmed through simulation using the IEEE 14 bus benchmark system.",
keywords = "False Data Injection, Kalman Filter, Unknown Input Estimator, Wide-Area Protection",
author = "Mohsen Khalaf and Amr Youssef and El-Saadany, \{Ehab F.\} and Magdy Salama",
note = "Funding Information: This publication was made possible by the support of the Advanced Power and Energy Center, APEC, Khalifa University, Abu Dhabi, UAE. The statements made herein are solely the responsibility of the authors. Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Electrical Power and Energy Conference, EPEC 2019 ; Conference date: 16-10-2019 Through 18-10-2019",
year = "2019",
month = oct,
doi = "10.1109/EPEC47565.2019.9074796",
language = "British English",
series = "2019 IEEE Electrical Power and Energy Conference, EPEC 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 IEEE Electrical Power and Energy Conference, EPEC 2019",
address = "United States",
}