Current Secondary Circuit Anomaly Detection Based on ROD Algorithm
- Resource Type
- Conference
- Authors
- Bu, Longmin; Zhang, Rendong; Chen, Hong; Yang, Shengwei
- Source
- 2022 12th International Conference on Power and Energy Systems (ICPES) Power and Energy Systems (ICPES), 2022 12th International Conference on. :520-523 Dec, 2022
- Subject
- Power, Energy and Industry Applications
Predictive models
Prediction algorithms
Power grids
Data models
Integrated circuit modeling
Anomaly detection
time series
ROD model
anomaly detection
current secondary circuit
- Language
- ISSN
- 2767-732X
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.