Asset Condition Anomaly Detections by Using Power Quality Data Analytics

Power quality monitors are typically deployed for power quality standard compliance survey power quality troubleshooting triggered by customer complaint. However, the rich data collected by power quality monitors can provide additional value to asset owners and system operators for purposes further than power quality itself. This paper presents utility experiences in asset condition assessment and operation anomaly detection by using power quality data analytics. Transformer ferroresonance, renewable generator instability and breaker restrike are selected to exemplify the usefulness of power quality data in applications beyond passive power quality monitoring.