Description of capability
Andy Sun et al. have developed an efficient and robust computational method for solving the security-constrained alternating current optimal power flow (SC-ACOPF) problem, a two-stage nonlinear optimization problem with disjunctive constraints, that is central to the operation of electric power grids.
Key people
Technology Readiness Level (1-9)
5
Needs that this could potentially address
Extremely fast AC Optimal Power Flow optimization models
Tech specs
The proposed algorithms can produce high-quality solutions in a very restricted time framework for real world-sized power grids up to 30,000 buses and 22,000 contingencies.
Estimated time & cost to commercialize
1-2 years
Outstanding risks
Market adoption and business model
References
https://pubsonline.informs.org/doi/10.1287/opre.2023.2486 https://arpa-e.energy.gov/sites/default/files/2021-11/GMI-GO%20-%20Andy%20Sun.pdf https://www.scl.gatech.edu/news/isye-team-places-third-national-arpa-e-go-competition