Using technology like line sensors to quickly react to unplanned outages enables utilities to minimize outage durations and incrementally improve reliability metrics. Beyond reacting more quickly and effectively, there is an opportunity to drive reliability further with proactive strategies. If utilities can also predict outages and mitigate unplanned interruptions the impact on reliability and customer satisfaction is far greater.
Sentient Energy’s solution for proactive outage mitigation is the Reliability Analytics Monitoring Program. This program uses line sensor anomalies as the basis of predicting interruptions. High resolution oscillography data coupled with purpose-built analytics capture these anomalies not visible in today’s SCADA systems as they don’t cause power interruptions. With analytics, anomalies can be classified and trended to identify feeder segments with high impending outage risk.
Sentient Energy’s Reliability Analytics Monitoring Program includes intelligent line sensors, Ample Analytics Software, and a cloud-based advanced analytics platform. Designed to take in data from multiple sources, this platform enables enterprise analytics at scale.
Reliability analytics monitoring leverages digital twin technology and an expert-in-the-loop delivery model to provide the following:
Reliability analytics monitoring gives utilities an expanded view of their grid operations, enabling them to go beyond reactive response and proactively address impending outages. Utility engineers can visualize anomaly activity by feeder segment to initiate inspections of high-risk segments. Impending faults are identified and addressed, reliability and customer satisfaction are greatly improved, and field inspection results are incorporated into training data to refine anomaly classifications and improve success rates.