Synchrophasor Data Management

Wonderware eDNA real-time data management platform is used for synchrophasor data capture, archive, and analysis from Phasor Measurement Units (PMU). A comprehensive data management solution is an important and necessary component of any wide area measurement system (WAMS) to manage the massive volume and velocity of data generated.

The high-speed eDNA Synchrophasor real-time data collection service archives up to 100 samples per second per data stream via the IEEE C37.118 protocol. Each high-speed collection node gathers data from the Phasor Data Concentrator or PMU and Phasor Data Concentrators or PDC. A single eDNA server can support up to 100 PMU devices. Phase angles and phase angle differences are calculated and sent to one of the three eDNA archives described below:

Raw Database Archive

Through a rolling archive (user configurable) grid operators or reliability coordinators can use an online full-resolution archive to analyze disturbances for improved grid reliability.

Snapshot Database Archive

SCADA engineers can reliably measure grid status, increasing the accuracy of state estimation and improving grid stability.

Event Database Archive

The event database collects and stores all the high-resolution data for all PMU devices during an event for incident analysis. Events can be triggered by the PMU/PDC or user-defined. The amount of data to be stored prior to and after the event is user configurable and can be stored online for years to decades.

Learn how eDNA is used for Synchrophasor Data Management at Southern California Edison:

Phasors Point the Way TD Article

Click to download the "Real-time Historian for Synchrophasor Data Management" paper

Synchrophasor Data Management

 Synchrophasor Data Management

• High-speed phasor data collection, storage, analysis and reporting
• Visualization into grid state through widely used eDNA data historian
• Increase real-time situational awareness
• Three specialized archives for raw data, time aligned data and event analysis
• Event capture based upon Phasor alarms, user-configurable calculations or manual triggers
• Improve grid stability, power flow and minimize congestion
• Integration of real-time and historical data using standardized interfaces
• Advanced data compression for efficient storage and retrieval
• Secure data access through a dedicated client or the web