NVIDIA POWER MANAGEMENT OPTIMAL POWER SOFTWARE
To advance the modeling and computational techniques needed to develop more efficient grid-control strategies under emergency scenarios, a multi-institutional team has used a Lawrence Livermore National Laboratory (LLNL)-developed software capable of optimizing the grid’s response to potential disruption events under different weather scenarios, on Oak Ridge National Laboratory (ORNL)’s Frontier supercomputer, an HPE Cray system powered by AMD CPUs and GPUs. Compounding the challenge of grid management is the increasing amount of renewable energy sources such as solar and wind that are continually added to the grid, and the fact that solar panels and other means of distributed power generation are hidden to grid operators. (credit: Cosmin Petra)Įnsuring the nation’s electrical power grid can function with limited disruptions in the event of a natural disaster, catastrophic weather or a manmade attack is a key national security challenge. Pictured is a heatmap of the risk of equipment overload for a 70,000-bus synthetic system with less than 20,000 contingencies.
The HiOp solver ran on 9,000 Frontier nodes to assess power grid setpoints of more than 100,000 possible grid failures and weather scenarios in 20 minutes.
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