Current Secondary Circuit Anomaly Detection Based on ROD Algorithm

During the operation of the power grid system, abnormal current often occurs due to equipment failure or improper operation by technicians. Timely detection of abnormal current sections plays a significant role in maintaining the safe operation of the power grid. In view of the low accuracy of current abnormal section detection methods, a robust Rotation based Outlier Detection algorithm that is parameter-free, requires no distribution assumptions is used to detect abnormal current segments. The preprocessed current data are used to train the model. The experimental results show that the method can detect abnormal current segments well.