Analytic Research Foundations for the Next-Generation Electric Grid (2016) / Chapter Skim
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Operators make control decisions, especially rapid ones after an untoward event, based on incomplete data. By contrast, the next-generation grid is envisioned to offer something closer to optimized utilization of assets, optimized pricing and scheduling (analogous to, say, time-varying pricing and decision making in Internet commerce)
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For example, the 2011 DOE conference Computational Needs for the Next Generation Electric Grid identified seven computational challenges associated with the operation and planning of the electric power system: • Cloud computing, • Hierarchical models, • Analysis and planning for contingencies, • Modeling of infrastructure interdependencies, • Modeling and controlling multi-time-scale and multidimensional power systems, • Optimization under uncertainty, and • Unit commitment and economic dispatch.2 Other than the first of these, all require or could benefit from new tools from the mathematical sciences. In short, the future grid will rely on integrating advanced computation and massive data to create a better understanding that supports decision making.
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The committee also recognizes that acceptance of the conclusions and recommendations in this report by key industry segments -- utilities, grid and market operators, market participants, software and system vendors, and the research community -- is essential if productive research and development is to be conducted and successful results adopted. Some of the recommendations -- for alternating current (ac)
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From page 4... ...
Rather, its recommendations are designed to help direct future research as the grid evolves and to give the nation's R&D infrastructure the tools it needs to effectively develop, test, and use this research. The committee's recommendations are in four areas: data availability, modeling capabilities, improved algorithms, and the organizational structure needed to integrate improvements in these areas and to make them accessible to a large community of researchers.
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For this reason, synthetic data that are sufficient to mirror real operations are required for future research. Recommendation 4: Given the critical infrastructure nature of the electric grid and the critical need for developing advanced mathematical and computational tools and techniques that rely on realistic data for testing and validating those tools and techniques, the power research community, with government and industry support, should vigorously address ways to create, validate, and adopt synthetic data and make them freely available to the broader research community.
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From page 6... ...
Recommendation 12: The Department of Energy should establish a National Electric Power Systems Research Center to address fundamental research challenges associated with analysis for the future electric system. The center would act as an interface between the power industry, government, and universities in developing new computational and mathematical solutions for data and modeling issues and in sharing valuable data.
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