Power System Anomaly Detection and Classification Utilizing WLS-EKF State Estimation and Machine Learning

1 code implementation • 26 Sep 2022 • Sajjad Asefi, Mile Mitrovic, Dragan Ćetenović, Victor Levi, Elena Gryazina, Vladimir Terzija

This paper presents a new algorithm for detecting anomaly presence, classifying the anomaly type and identifying the origin of the anomaly, i. e., measurements that contain gross errors in case of bad data, or buses associated with loads experiencing a sudden change, or state variables targeted by false data injection attack.

Anomaly Classification Anomaly Detection