collaborators

5 papers

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…

eess.SY2020

A Flexible Storage Model for Power Network Optimization

Frederik Geth, Carleton Coffrin, David M Fobes

This paper proposes a simple and flexible storage model for use in a variety of multi-period optimal power flow problems. The proposed model is designed for research use in a broad…

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…

cs.DC2019

The ISTI Rapid Response on Exploring Cloud Computing 2018

Carleton Coffrin, James Arnold, Stephan Eidenbenz +45

This report describes eighteen projects that explored how commercial cloud computing services can be utilized for scientific computation at national laboratories. These demonstrati…