Modeling and simulating the grid performance is done in isolation and at a very high level. Simulations are based on historical data with little scenario capability.
Goals and Objectives
Develop complete digital twins of the grids that include twins of all assets and systems. Will allow simulation and modeling of power flow and asset performance under different loads. Will increase grid power efficiency and quality. It will also lead to the need for less back up and ancillary power requirements
Sensors, smart assets, networks, analytical tools, data management, cognitive, cloud
Use Case Summary
Detailed models and simulations of grid performance to better manage and predict power flow, quality and asset performance