A data-driven algorithm to detect false data injections targeting both frequency regulation and market operation in power systems

International Journal of Electrical Power & Energy Systems(2022)

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摘要
•A novel machine learning approach is proposed for detecting anomalies in AGC loop.•The proposed approach combines K-means, SMOTE, and multiple SVDD models.•For training, the proposed approach requires only one class data.•Feature Engineering concept is used to devise a new feature.•A financially oriented market operation attack is presented that earn illegal profits.
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关键词
AGC,LFC,FDI,Feature engineering,Feature creation,One class classifier,SVDD,Ensemble,Market operation attacks,Machine learning,Power systems
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