Fast and robust strategies for large-scale mixed-integer SCOPF

Mohammadi, Javad [Univ. of Texas, Austin, TX (United States) ]; Sharadga, Hussein [Univ. of Texas, Austin, TX (United States) ]; Baker, Kyri [Univ. of Texas, Austin, TX (United States) ]; Crozier, Constance [Univ. of Texas, Austin, TX (United States) ]

doi:10.2172/2524577

DOE OSTI · 2524577

Fast and robust strategies for large-scale mixed-integer SCOPF

Mohammadi, Javad [Univ. of Texas, Austin, TX (United States) ]·Sharadga, Hussein [Univ. of Texas, Austin, TX (United States) ]·Baker, Kyri [Univ. of Texas, Austin, TX (United States) ]·Crozier, Constance [Univ. of Texas, Austin, TX (United States) ]

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Abstract

This project develops scalable, computationally efficient algorithms to solve realistic large-scale power system optimization problems, including systems with more than 8,000 buses, as part of a larger series of competitions run by ARPA-E. These problems are critical because the secure and reliable operation of the power grid is becoming increasingly challenging, especially under conditions of increased uncertainty and variability. The economic feasibility of our methods is high, given that they are purely software-based solutions designed to operate power grids more efficiently. The technical effectiveness balances heuristics and approximations to provide a trade-off between speed and accuracy.

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Mohammadi, Javad [Univ. of Texas, Austin, TX (United States) ], Sharadga, Hussein [Univ. of Texas, Austin, TX (United States) ], Baker, Kyri [Univ. of Texas, Austin, TX (United States) ], Crozier, Constance [Univ. of Texas, Austin, TX (United States) ]. 2025-02-28. Fast and robust strategies for large-scale mixed-integer SCOPF. https://doi.org/10.2172/2524577

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