3 papers
eess.SY2025
Chance-Constrained DC Optimal Power Flow Using Constraint-Informed Statistical Estimation
Tianyang Yi, D. Adrian Maldonado, Anirudh Subramanyam
Chance-constrained optimization has emerged as a promising framework for managing uncertainties in power systems. This work advances its application to the DC Optimal Power Flow (D…
eess.SY2024
The statistical spread of transmission outages on a fast protection time scale based on utility data
Ian Dobson, D. Adrian Maldonado, Mihai Anitescu
When there is a fault, the protection system automatically removes one or more transmission lines on a fast time scale of less than one minute. The outaged lines form a pattern in…
math.OC2024
Scalable Multi-Period AC Optimal Power Flow Utilizing GPUs with High Memory Capacities
Sungho Shin, Vishwas Rao, Michel Schanen +2
This paper demonstrates the scalability of open-source GPU-accelerated nonlinear programming (NLP) frameworks -- ExaModels.jl and MadNLP.jl -- for solving multi-period alternating…