activity
20182026
most citedOn the Emerging Potential of Quantum Annealing Hardware for Combinatorial Optimization

23 citations · 26 across the 13 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

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…

eess.SY2020

PowerModelsRestoration.jl: An Open-Source Framework for Exploring Power Network Restoration Algorithms

Noah Rhodes, David Fobes, Carleton Coffrin +1

With the escalating frequency of extreme grid disturbances, such as natural disasters, comes an increasing need for efficient recovery plans. Algorithms for optimal power restorati…

cs.CE2020

PowerModelsDistribution.jl: An Open-Source Framework for Exploring Distribution Power Flow Formulations

David M Fobes, Sander Claeys, Frederik Geth +1

In this work we introduce PowerModelsDistribution, a free, open-source toolkit for distribution power network optimization, whose primary focus is establishing a baseline implement…