5 papers
Disjunctive Benders Decomposition
Kaiwen Fang, Inho Sin, Geunyeong Byeon
We propose an enhancement to Benders decomposition (BD) that generates valid inequalities for the convex hull of the Benders reformulation, addressing the limitation that classical…
A GPU-Accelerated Distributed Algorithm for Optimal Power Flow in Distribution Systems
Minseok Ryu, Geunyeong Byeon, Kibaek Kim
We propose a GPU-accelerated distributed optimization algorithm for controlling multi-phase optimal power flow in active distribution systems with dynamically changing topologies.…
FIRM: Federated Image Reconstruction using Multimodal Tomographic Data
Geunyeong Byeon, Minseok Ryu, Zichao Wendy Di +1
We propose a federated algorithm for reconstructing images using multimodal tomographic data sourced from dispersed locations, addressing the challenges of traditional unimodal app…
Comparative Analysis of Two-Stage Distributionally Robust Optimization over 1-Wasserstein and 2-Wasserstein Balls
Geunyeong Byeon
This paper investigates advantages of using 2-Wasserstein ambiguity sets over 1-Wasserstein sets in two-stage distributionally robust optimization with right-hand side uncertainty.…
Linearized Optimal Power Flow for Multiphase Radial Networks with Delta Connections
Geunyeong Byeon, Minseok Ryu, Kibaek Kim
This paper proposes a linear approximation of the alternating current optimal power flow problem for multiphase distribution networks with voltage-dependent loads connected in both…