Early Warning Based on Anomaly Detection

@inproceedings{Gu2014EarlyWB,
  title={Early Warning Based on Anomaly Detection},
  author={Wei Gu and Jingjing Bai and Xiaodong Yuan and Xueying Zhang and Yuankai Wang},
  year={2014}
}
Different power quality (PQ) disturbance sources can have major impacts on the power supply grid. This study proposes, for the first time, an early warning approach to identifying PQ problems and providing early warning prompts based on the monitored data of PQ disturbance sources. To establish a steady-state power quality early warning index system, the characteristics of PQ disturbance sources are analyzed and summed up. The higher order statistics anomaly detection (HOSAD) algorithm, based… CONTINUE READING