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math.OC2021

Convex Relaxations of Maximal Load Delivery for Multi-contingency Analysis of Joint Electric Power and Natural Gas Transmission Networks

Byron Tasseff, Carleton Coffrin, Russell Bent

Recent increases in gas-fired power generation have engendered increased interdependencies between natural gas and power transmission systems. These interdependencies have amplifie…

math.OC2020

Natural Gas Maximal Load Delivery for Multi-contingency Analysis

Byron Tasseff, Carleton Coffrin, Russell Bent +2

As the use of renewable generation has increased, electric power systems have become increasingly reliant on natural gas-fired power plants as fast ramping sources for meeting fluc…

math.OC2020

The Impacts of Convex Piecewise Linear Cost Formulations on AC Optimal Power Flow

Carleton Coffrin, Bernard Knueven, Jesse Holzer +1

Despite strong connections through shared application areas, research efforts on power market optimization (e.g., unit commitment) and power network optimization (e.g., optimal pow…

math.OC2019

The Potential of Quantum Annealing for Rapid Solution Structure Identification

Yuchen Pang, Carleton Coffrin, Andrey Y. Lokhov +1

The recent emergence of novel computational devices, such as quantum computers, coherent Ising machines, and digital annealers presents new opportunities for hardware-accelerated h…

math.OC2019

Exploring Benefits of Linear Solver Parallelism on Modern Nonlinear Optimization Applications

Byron Tasseff, Carleton Coffrin, Andreas Wächter +1

The advent of efficient interior point optimization methods has enabled the tractable solution of large-scale linear and nonlinear programming (NLP) problems. A prominent example o…

math.OC2019

The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

Sogol Babaeinejadsarookolaee, Adam Birchfield, Richard D. Christie +20

In recent years, the power systems research community has seen an explosion of novel methods for formulating the AC power flow equations. Consequently, benchmarking studies using t…