146 citations · 149 across the 7 of their papers we have counts for
7 papers
GPU-Resident Sparse Direct Linear Solvers for Alternating Current Optimal Power Flow Analysis
Kasia Świrydowicz, Nicholson Koukpaizan, Tobias Ribizel +4
Integrating renewable resources within the transmission grid at a wide scale poses significant challenges for economic dispatch as it requires analysis with more optimization param…
Power Grid Behavioral Patterns and Risks of Generalization in Applied Machine Learning
Shimiao Li, Jan Drgona, Shrirang Abhyankar +1
Recent years have seen a rich literature of data-driven approaches designed for power grid applications. However, insufficient consideration of domain knowledge can impose a high r…
Towards Efficient Alternating Current Optimal Power Flow Analysis on Graphical Processing Units
Kasia Swirydowicz, Nicholson Koukpaizan, Shrirang Abhyankar +1
We present a solution of sparse alternating current optimal power flow (ACOPF) analysis on graphical processing unit (GPU). In particular, we discuss the performance bottlenecks an…
Exascale Grid Optimization (ExaGO) toolkit: An open-source high-performance package for solving large-scale grid optimization problems
Shrirang Abhyankar, Slaven Peles, Tamara Becejac +3
This paper introduces the Exascale Grid Optimization (ExaGO) toolkit, a library for solving large-scale alternating current optimal power flow (ACOPF) problems including stochastic…
Neuro-physical dynamic load modeling using differentiable parametric optimization
Shrirang Abhyankar, Jan Drgona, Andrew August +2
In this work, we investigate a data-driven approach for obtaining a reduced equivalent load model of distribution systems for electromechanical transient stability analysis. The pr…
Koopman-based Differentiable Predictive Control for the Dynamics-Aware Economic Dispatch Problem
Ethan King, Jan Drgona, Aaron Tuor +4
The dynamics-aware economic dispatch (DED) problem embeds low-level generator dynamics and operational constraints to enable near real-time scheduling of generation units in a powe…
PETSc/TS: A Modern Scalable ODE/DAE Solver Library
Shrirang Abhyankar, Jed Brown, Emil M. Constantinescu +3
High-quality ordinary differential equation (ODE) solver libraries have a long history, going back to the 1970s. Over the past several years we have implemented, on top of the PETS…