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Tuesday, November 10, 2020

Simulating the PowerGrid

We are much in need of better power grid simulations.  PNNL is working on it. Note the broader look at multiple task modeling and improvement.  Worth looking at for other industrial multiple task and goal operations.  Full and more detailed article at the link. 

PNNL Researchers Speed Power Grid Simulations Using AI

New artificial intelligence approach holds promise to deliver fast, accurate results; could benefit other national priorities

Lynne Roeder, PNNL

Conceptual artwork for multitask learning in power gird simulations

Most modern phones and cars are programmed to “learn” from their environment—sounds, facial features, and even common driving routes. Patterns of recognition allow these systems to accurately predict and suggest preferred options in the blink of an eye.

Now imagine a system that could provide the same precision and responsiveness for critical national challenges, such as disease diagnoses, weather forecasting, and power grid reliability.  

A new software application called the Smart Power Grid Simulator (Smart-PGSim) uses neural networks, a type of artificial intelligence (AI), to efficiently solve power grid simulations crucial for planning and optimizing electricity delivery. Initial test results showed Smart-PGSim solved power flow calculations about three times faster than a traditional numerical model, without a loss in precision.

Developed by Pacific Northwest National Laboratory (PNNL) computer scientist Gokcen Kestor and collaborators from the University of California, Merced, the methodology behind Smart-PGSim uses a novel neural network approach called multi-task learning modeling. The researchers believe it is the first such application of AI for the power grid. ... "

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