Address increasing computational complexity and reduced time-to-solution requirements for grid planning and operations via new scalable solvers, dynamics, and uncertainty analysis. Builds upon existing DOE-funded work (GridPack, M2ACS Program, PETSc and SUNDIALS libraries).
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Computational Science for Grid Management
The power grid continues to increase in complexity, in good part by the growing use of distribute
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Publication date: May, 2017
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Resource Type: Publication