A Novel Technique to Detect False Data Injection Attacks on Phasor Measurement Units
Saleh Almasabi,
Turki Alsuwian,
Ehtasham Javed,
Muhammad Irfan,
Mohammed Jalalah,
Belqasem Aljafari,
Farid A. Harraz
Affiliations
Saleh Almasabi
Electrical Engineering Department, College of Engineering, Najran University, Najran 11001, Saudi Arabia
Turki Alsuwian
Electrical Engineering Department, College of Engineering, Najran University, Najran 11001, Saudi Arabia
Ehtasham Javed
Neuroscience Center, Helsinki Institute for Life Sciences, University of Helsinki, 00014 Helsinki, Finland
Muhammad Irfan
Electrical Engineering Department, College of Engineering, Najran University, Najran 11001, Saudi Arabia
Mohammed Jalalah
Electrical Engineering Department, College of Engineering, Najran University, Najran 11001, Saudi Arabia
Belqasem Aljafari
Electrical Engineering Department, College of Engineering, Najran University, Najran 11001, Saudi Arabia
Farid A. Harraz
Promising Centre for Sensors and Electronic Devices (PCSED), Advanced Materials and Nano-Research Centre, Najran University, P.O. Box 1988, Najran 11001, Saudi Arabia
The power industry is in the process of grid modernization with the introduction of phasor measurement units (PMUs), advanced metering infrastructure (AMI), and other technologies. Although these technologies enable more reliable and efficient operation, the risk of cyber threats has increased, as evidenced by the recent blackouts in Ukraine and New York. One of these threats is false data injection attacks (FDIAs). Most of the FDIA literature focuses on the vulnerability of DC estimators and AC estimators to such attacks. This paper investigates FDIAs for PMU-based state estimation, where the PMUs are comparable. Several states can be manipulated by compromising one PMU through the channels of that PMU. A Phase Locking Value (PLV) technique was developed to detect FDIAs. The proposed approach is tested on the IEEE 14-bus and the IEEE 30-bus test systems under different scenarios using a Monte Carlo simulation where the PLV demonstrated an efficient performance.
