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Emerging Optimal Control Models and Solvers for Interconnected Natural Gas and Electricity Networks

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Abstract

This chapter reviews emerging optimal control models for interconnected natural gas and electricity networks and discusses economic drivers motivating the development of such models. We also review computational patterns and structures arising in these models and assess the potential and limitations of state-of-the-art optimization solvers.

Keywords

Power Grid Newton Step Demand Scenario Optimal Control Model Locational Marginal Price 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

This material is based upon work supported by the U.S. Department of Energy, Office of Science, under contract number DE-AC02-06CH11357. Victor M. Zavala acknowledges the support of the Early Career Program of the U.S. Department of Energy. We also acknowledge the computing resources provided on Fusion and Blues, high-performance computing clusters operated by the Laboratory Computing Resource Center at Argonne National Laboratory.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Mathematics and Computer Science DivisionArgonne National LaboratoryArgonneUSA
  2. 2.Department of Chemical and Biological EngineeringUniversity of Wisconsin-MadisonMadisonUSA

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