INFORMS 2023

Session SA52, GO Competition Performers, Sunday, October 15, 2023, 8:00 AM - 9:15 AM, CC-North 230 Phoenix Convention Center, Phoenix, AZ

Session Chair Jesse Holzer, Pacific Northwest National Laboratory, Richland, WA

1. Scaling Security Constrained Optimal Power Flow to Multi-Timestep; Constance Crozier, University of Colorado Boulder, Bolder, CO (slides)

2. GravityX: The Last Challenge; Hassan Lionel Hijazi, Los Alamos National Laboratory, Los Alamos, NM (slides)

3. Experiences In Solving Multi-period UC-ACOPF In GO Competition; Andy Sun, Massachusetts Institute of Technology, Boston, MA

4. Heuristics for the GO Competition; Daniel Bienstock, Columbia University, New York, NY, and Gurobi; Richard Waltz, Artelys, Los Angeles, CA (slides)

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Session SC52, GO Competition Construction, Sunday, October 15, 2023, 12:45 PM - 2:00 PM, CC-North 230, Phoenix Convention Center, Phoenix, AZ

Session Chair Stephen Elbert, Pacific Northwest National Laboratory, Richland, WA

1. Go Competition Challenge 3 - Features and Impacts of Model Formulation; Jesse Holzer, Pacific Northwest National Laboratory, Richland, WA (slides)

2. New Developments to Synthetic Grids; Farnaz Safdarian, Texas A&M University, College Station, TX (slides)

3. The Grid Optimization Competition Challenge 3 Benchmark Algorithm; Robert Parker, Carleton Coffrin, Los Alamos National Laboratory, Los Alamos, NM (slides)

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Session SE53, New Algorithms for Power System Operation, Sunday, October 15, 4:00 PM – 5:15 PM, CC-North 231A, Phoenix Convention Center, Phoenix, AZ

Session Chair: Daniel Bienstock, Columbia University, New York, NY

1. GravitySDP: A Solver for Sparse Mixed-Integer SDPs, Hassan Lionel Hijazi, Los Alamos National Laboratory, Los Alamos, NM (slides)

2. Advances in Solving Large-Scale Grid Optimization Problems, Andy Sun, MIT, Cambridge, MA

3. Recursive Restoration Refinement: A Fast Heuristic for Near-Optimal Restoration Prioritization in Power Systems, Line Roald¹, Noah Rhodes¹, Carleton Coffrin², ¹University of Wisconsin - Madison, Madison, WI, ²Los Alamos National Laboratory, Los Alamos, NM

4. Linear Formulations for AC-OPF, Matias Villagra, Columbia University, NYC, NY

5. Physics-Informed Machine Learning for Electricity Markets, Robert Ferrando¹, Laurent Pagnier², Robert Mieth³, Zhirui Liang⁴, Yury Dvorkin⁵, Daniel Bienstock⁶, Michael Chertkov¹, ¹University of Arizona, Tucson, AZ, ²University of Arizona, Tucson, AZ, ³Princeton University, Princeton, NJ, ⁴Johns Hopkins University, Baltimore, MD, ⁵Johns Hopkins University, Baltimore, MD, ⁶Columbia University, New York, NY

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Session SK02, Keynote: The Electric Grid in Evolution: Data, Optimization, and Risk-Taking, Sunday, October 15, 5:25 PM – 6:15 PM, CC-West 301ABC, Phoenix Convention Center, Phoenix, AZ

Daniel Bienstock, Columbia University, New York, NY (slides)

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Recent Progress in Optimization Software, Monday, October 16, 2023, 10:45 – 5:15 PM, CC-North 222C, Phoenix Convention Center, Phoenix, AZ

Session Chair: Hans Mittelmann, Arizona State University

Sessions: MB36, MC36, MD36, ME36 (slides)

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Session TA52, Optimization and Machine Learning in Power Systems, Tuesday, October 17, 8:00 AM – 9:15 AM, Phoenix Convention Center, Phoenix, AZ

1. Differentially Private Algorithms for Synthetic Power System Datasets, Vladimir Dvorkin, Audun Botterud, Massachusetts Institute of Technology, Cambridge, MA

2. Employing Optimization Tools Developed by the Machine Learning Community to Solve Large Scale Power Flow Optimization Problems, Samuel Chevalier, University of Vermont, Burlington, VT (slides)

3. Data-Driven Linearization for Optimal Power Flow, Terrence W K Mak, Monash University, Melbourne, Australia (slides)

4. Forecasting and Asset Bundling for Renewable Energy, Hanyu Zhang¹, Mathieu Tanneau², Pascal Van Hentenryck¹, ¹ISyE Georgia Tech, Atlanta, GA, ²Georgia Tech, Atlanta, GA

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Session WA51, PERFORMS: Integrating Non-Traditional Resources and Reducing Asset Delivery Risk in Power Systems, Wednesday, October 18 8:00 AM – 9:15 AM, CC-North 229B, Phoenix Convention Center, Phoenix, AZ

1. Economic and Reliability Outcomes of a Risk-Adjusted Stochastic Day-Ahead Unit Commitment Model, Dalia Patino-Echeverri, Duke University, Durham, NC

2. Stochastic Nodal Adequacy Pricing: Dealing with Uncertainty in Electric Markets, Selin Yanikara, Tabors Caramanis Rudkevich, Newton, MA

3. Stochastic Market Auction Redesigned Trading System (Smarts) Update: The Value of Virtual Power Plant and Global Market Intelligence, Hung-po Chao, Energy Trading Analytics (ETA), Palo Alto, CA

4. Flexibility as Optionality: Methods to Value the Flexibility of Distributed Energy Resources, Helyette Geman, Johns Hopkins University, Baltimore, MD

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Session WB51, PERFORMS: New Approaches to Risk Management in Power Markets, Wednesday, October 18, 9:30 AM – 10:45 AM, CC-North 229B, Phoenix Convention Center, Phoenix, AZ

1. System Risk of Renewable Technologies and Its Impact on Clearing Power Markets, Alexander Wasilkoff¹, Panagiotis Andrianesis², Michael C, Caramanis¹, ¹Boston University, Boston, MA, ²Boston University, Boston, MA

2. Abscores, Managing Risk and Uncertainty in Electricity Systems Using Banking Scoring and Rating Methodologies, Alberto Lamadrid, Lehigh University, Philadelphia, PA

3. Performance Risk Scoring of Risk-Free Renewable Generation Bids, Aparna Gupta¹, Denis Osipov², ¹Rensselaer Polytechnic Institute, Troy, NY, ²Rensselaer Polytechnic Institute, Troy, NY

4. Enhancing Decision Support for Electricity Markets with Machine Learning, Yury Dvorkin, Johns Hopkins University, Baltimore, MD (Steve: nice GAN discussion)

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 A few of the people with a GO Competition connection after the Sunday morning presentations.