collaborators

5 papers

eess.SY2026

Nodal Frequency Stability-Constrained UC & ED for Renewable-Dominated Power Systems

Marena Trujillo, David Cole, Bri-Mathias Hodge

In modern power systems with high shares of renewable, inverter-based resources (IBRs), frequency stability becomes more complex due to the fast dynamics of IBRs and frequency traj…

math.OC2026

Analyzing Performance and Scalability of Benders Decomposition for Generation and Transmission Expansion Planning Models

David L. Cole, Michael Lau, Xinliang Dai +2

Generation and Transmission Expansion Planning (GTEP) problems co-optimize generation and transmission expansion, enabling them to provide better planning decisions than traditiona…

math.OC2026

Graph-Based Modeling and Decomposition of Hierarchical Optimization Problems

David L. Cole, Filippo Pecci, Omar J. Guerra +3

We present a graph-theoretic modeling approach for hierarchical optimization that leverages the OptiGraph abstraction implemented in the Julia package Plasmo.jl. We show that the a…

cs.DC2025

A Graph-Based, Distributed Memory, Modeling Abstraction for Optimization

David L. Cole, Jordan Jalving, Jonah Langlieb +1

We present a general, flexible modeling abstraction for building and working with distributed optimization problems called a RemoteOptiGraph. This abstraction extends the OptiGraph…

math.OC2025

Benders Decomposition using Graph Modeling and Multi-Parametric Programming

Parth Brahmbhatt, David L. Cole, Victor M. Zavala +1

Benders decomposition is a widely used method for solving large optimization problems, but its performance is often hindered by the repeated solution of subproblems. We propose a f…