Many utilities have voiced concerns over “big data” with valid reasons. The massive amount of data now streaming from smart devices, meters, and other sources including weather systems and social media can readily overwhelm a utility’s ability to analyze system performance and make it very difficult to identify and resolve problems, especially during storm events.
Schneider Electric’s Advanced Distribution Management System – with advanced functions to model, monitor, and manage the distribution system, combined with a field-proven distribution SCADA system to monitoring and control network devices and a complete OMS for managing outages and dispatching crews – thrives on big data. It provides utilities with the ability to integrate millions of data points into a single, straightforward, simplified user experience that makes big data actionable.
As detailed in this brochure, with ADMS, big data becomes a welcome source for fault and outage detection and restoration, demand response, energy storage/microgrid management, proactive maintenance, and planning functionality for network growth. ADMS pre-processes data from network points and eliminates bad data, estimates non-telemetered points, and resolves time skew for unsynchronized systems, optimizing state estimation and providing clear visualization and awareness of the network state.