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Cyber Spoofing Detection for Grid Distributed Synchrophasor Using Dynamic Dual-Kernel SVM
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DOI：10.1109/TSG.2020.3039411.png)
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Abstract
En 中文
Cyber spoofing with distributed synchrophasor adversely affects the decision-making and situational awareness of the power grid. To detect the spoofing trail, this letter proposes a composite signature-based cyber spoofing detection methodology. The intrinsic principal modes are first extracted from the distributed synchrophasor data. Then, multiple signatures of different intrinsic model components are derived to quantify the spoofing. Thereafter, the dynamic dual-kernel support vector machine is proposed to identify cyber spoofing using multiple signatures. Multiple experimental results using six spoofing methods have verified the validity of the methodology.
Keywords:
Support vector machines
Kernel
Phasor measurement units
Feature extraction
Oscillators
Training data
Data mining
Cyber spoofing
distributed synchrophasor
dynamic dual-kernel support vector machine
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