Mathematical sciences research challenges for the next-generation electric grid : summary of a workshop / Michelle Schwalbe, rapporteur ; Committee on Analytical Research Foundations for the Next-Generation Electric Grid, Board on Mathematical Sciences and Their Applications, Division on Engineering and Physical Sciences, The National Academies of Sciences, Engineering, Medicine.

Format:

Book

Author/Creator:

Schwalbe, Michelle, author.

Contributor:

Schwalbe, Michelle, contributor.

National Academies of Sciences, Engineering, and Medicine (U.S.). Committee on Analytical Research Foundations for the Next-Generation Electric Grid, contributor.

Language:

English

Subjects (All):

Renewable energy sources--United States--Congresses.

Renewable energy sources.

Mathematics--Research--United States--Congresses.

Mathematics.

United States.

Physical Description:

1 online resource (x, 89 pages) : illustrations, maps

Edition:

1st ed.

Place of Publication:

Washington, District of Columbia : The National Academies Press, [2015]

Summary:

If the United States is to sustain its economic prosperity, quality of life, and global competitiveness, it must continue to have an abundance of secure, reliable, and affordable energy resources. There have been many improvements in the technology and capability of the electric grid over the past several decades. Many of these advances to the grid depend on complex mathematical algorithms and techniques, and as the complexity of the grid has increased, the analytical demands have also increased. The workshop summarized in this report was developed as part of an ongoing study of the Committee on Analytical Research Foundations for the Next-Generation Electric Grid. Mathematical Sciences Research Challenges for the Next-Generation Electric Grid summarizes the presentations and discussions from this workshop. This report identifies critical areas of mathematical and computational research that must be addressed for the next-generation electric transmission and distribution system and to identify future needs and ways that current research efforts in these areas could be adjusted or augmented.

Contents:

Setting the stage. Low-cost pathways to grid integration of renewable energy

Data and data analytics. Prosumer-centric power industry transformation

How to combine observational data sources with first principles of physics to build stable and transportable models for power system design and control

Grid-scale data fusion

Optimization and control methods for a robust and resilient power grid. Durantion-differentiated electrical service for integrating renewable power

Demand-side flexibility for reliable ancillary services in a smart grid

Advances in mixed-integer programming and the impact on managing electric power grids

Uncertainty quantifications and validation. How well can we measure what didn't happen and predict what won't?

Mathematical models in power markets

Discussion

Strategies going forward.

Notes:

Includes bibliographical references (pages 75-78).

Description based on print version record.

ISBN:

0-309-37859-1

0-309-37857-5