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Analytic Research Foundations for the Next-Generation Electric Grid (2016)

Chapter: Appendix A: Workshop Agenda

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Suggested Citation:"Appendix A: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2016. Analytic Research Foundations for the Next-Generation Electric Grid. Washington, DC: The National Academies Press. doi: 10.17226/21919.
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A

Workshop Agenda

DAY 1, FEBRUARY 11, 2015

8:00 a.m. Welcome, Introductions, and Overview
Opening Remarks and Meeting Overview
Robert J. Thomas, Cornell University, Workshop Planning Committee, Chair
Welcome and Study Objectives
John Guckenheimer, Cornell University, Study Committee, Co-Chair
Thomas Overbye, University of Illinois Champagne-Urbana, Study Committee, Co-Chair
8:15 Keynote: Setting the Stage
Low-Cost Pathways to Grid Integration of Renewable Energy: Skating to Where the Puck Is Going to Be
Steven Chu, Stanford University
9:15 Data and Data Analytics
Session Co-Chairs:
Cynthia Rudin, Massachusetts Institute of Technology
Marija Ilic, Carnegie Mellon University
Prosumer-centric Power Industry Transformation
David Sun, Alstom
How to Combine Observational Data Sources with First Principles of Physics to Build Stable and Transportable Models for Power System Design and Control
Louis Wehenkel, University of Liège, Belgium
Grid-Scale Data Fusion: Obstacles and Opportunities
Matthew Gardner, Dominion Virginia Power
Suggested Citation:"Appendix A: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2016. Analytic Research Foundations for the Next-Generation Electric Grid. Washington, DC: The National Academies Press. doi: 10.17226/21919.
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12:00 p.m. Breakout Session
2:00 Optimization and Control Methods for a Robust and Resilient Power Grid
Session Chair:
Jeff Dagle, Pacific Northwest National Laboratory
Duration-Differentiated Electric Service for Integrating Renewable Power
Pravin Varaiya, University of California, Berkeley
Demand-Side Flexibility for Reliable Ancillary Services in a Smart Grid: Eliminating Risk to Consumers and the Grid
Sean Meyn, University of Florida
Advances in Mixed-Integer Programming and the Impact on Managing Electrical Power Grids
Robert Bixby, Gurobi
4:45 Breakout Session

DAY 2, FEBRUARY 12, 2015

8:30 a.m. Uncertainty Quantification and Validation
Session Chair:
Juan Meza, University of California, Merced
How Well Can We Measure What Didn’t Happen and Predict What Won’t?
Miriam Goldberg, DNV GL
Mathematical Models in Power Markets
Alexander Eydeland, Morgan Stanley
10:30 Breakout Session
11:45 Wrap-up Session
Session Chair:
Robert Thomas, Cornell University
Presentations from the audience
12:30 p.m. Final Remarks by the Organizers
1:00 Workshop Adjourns
Suggested Citation:"Appendix A: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2016. Analytic Research Foundations for the Next-Generation Electric Grid. Washington, DC: The National Academies Press. doi: 10.17226/21919.
×
Page 139
Suggested Citation:"Appendix A: Workshop Agenda." National Academies of Sciences, Engineering, and Medicine. 2016. Analytic Research Foundations for the Next-Generation Electric Grid. Washington, DC: The National Academies Press. doi: 10.17226/21919.
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Page 140
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Electricity is the lifeblood of modern society, and for the vast majority of people that electricity is obtained from large, interconnected power grids. However, the grid that was developed in the 20th century, and the incremental improvements made since then, including its underlying analytic foundations, is no longer adequate to completely meet the needs of the 21st century. The next-generation electric grid must be more flexible and resilient. While fossil fuels will have their place for decades to come, the grid of the future will need to accommodate a wider mix of more intermittent generating sources such as wind and distributed solar photovoltaics.

Achieving this grid of the future will require effort on several fronts. There is a need for continued shorter-term engineering research and development, building on the existing analytic foundations for the grid. But there is also a need for more fundamental research to expand these analytic foundations. Analytic Research Foundations for the Next-Generation Electric Grid provide guidance on the longer-term critical areas for research in mathematical and computational sciences that is needed for the next-generation grid. It offers recommendations that are designed to help direct future research as the grid evolves and to give the nation’s research and development infrastructure the tools it needs to effectively develop, test, and use this research.

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