Grid Visibility and Situational Awareness
- The electric distribution system is largely blind. Only ~20% of the North American distribution feeders have any form of monitoring.
- Even for feeders with sensors, only a small subset of the lines and assets are being monitored (e.g. CT/PT on SCADA, AMI for grid edge).
- It is cost prohibitive to sweep the distribution system with sensors.
- Localized sensing does not imply situational awareness.
- Situational awareness provides information beyond locally monitored points and contextually aware (e.g. voltage thresholds, capacity limits).
- Low cost, rapid deployment, and highly scalable solution for grid visibility.
- Provide valuable insights for asset investments, capacity planning, power quality, DER integration and system operations.
- Rapid modernization strategy for urban, suburban and rural systems.
- Model-based system for maximum accuracy and adapts to real time network topology, even under complex two-way power flow.
- Highly modular and lightweight, “one-feeder-at-a-time”, yet scalable for full enterprise integration.
- State estimation of converging power flows down to 1% accuracy every few seconds from a mix of data inputs.
HOW GRIDOS DOES IT
- Inputs include the 3Φ AC unbalanced electrical model of the network, with real time network topology, along with a limited number of field measurements (e.g. SCADA, AMI).
- GridOS performs a unique and powerful distributions system state estimation (DSSE) algorithm full feeder situational awareness.
- Yields online power flow results, including single-phase voltages, currents, real/reactive power, real/reactive losses, load duration curves, and more, across the distribution network.
- For real time operations, quasi-time series analysis in operational planning, exports into planning systems, and running “what-if” scenarios.