5 citations · 17 across the 11 of their papers we have counts for
9 papers · 1 filter
Revisiting Simultaneous Methods for Dynamic Optimization in the GPU Era
Joseph W. Choi, Sungho Shin
We revisit the classical topic in dynamic optimization: sequential vs simultaneous methods for solving DAE-constrained optimization problems, with a particular focus on how graphic…
Accelerating Optimal Power Flow with GPUs: SIMD Abstraction of Nonlinear Programs and Condensed-Space Interior-Point Methods
Sungho Shin, François Pacaud, Mihai Anitescu
This paper introduces a framework for solving alternating current optimal power flow (ACOPF) problems using graphics processing units (GPUs). While GPUs have demonstrated remarkabl…
Condensed interior-point methods: porting reduced-space approaches on GPU hardware
François Pacaud, Sungho Shin, Michel Schanen +2
The interior-point method (IPM) has become the workhorse method for nonlinear programming. The performance of IPM is directly related to the linear solver employed to factorize the…
Overlapping Schwarz Decomposition for Constrained Quadratic Programs
Sungho Shin, Mihai Anitescu, Victor M. Zavala
We present an overlapping Schwarz decomposition algorithm for constrained quadratic programs (QPs). Schwarz algorithms have been traditionally used to solve linear algebra systems…
Multi-Grid Schemes for Multi-Scale Coordination of Energy Systems
Sungho Shin, Victor M. Zavala
We discuss how multi-grid computing schemes can be used to design hierarchical coordination architectures for energy systems. These hierarchical architectures can be used to manage…
Computing Economic-Optimal and Stable Equilibria for Droop-Controlled Microgrids
Sungho Shin, Victor M. Zavala
We consider the problem of computing equilibria (steady-states) for droop-controlled, islanded, AC microgrids that are both economic-optimal and dynamically stable. This work is mo…