Parallel-in-time methods for power grid problems with generator and load ramping

doi:https://doi.org/10.2172/1347676

Title: Parallel-in-time methods for power grid problems with generator and load ramping

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Abstract

The objective of this technical memo is to describe the different methods that have been implemented and tested regarding the use of the MGRIT algorithm for generator and load ramping problems.

Authors:

Lecouvez, Matthew ^[1]

Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

Publication Date:: 2017-01-31

Research Org.:: Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

Sponsoring Org.:: USDOE

OSTI Identifier:: 1347676

Report Number(s):: LLNL-TR-726798

DOE Contract Number:: AC52-07NA27344

Resource Type:: Technical Report

Country of Publication:: United States

Language:: English

Subject:: 24 POWER TRANSMISSION AND DISTRIBUTION; 97 MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE

Citation Formats


                    Lecouvez, Matthew. Parallel-in-time methods for power grid problems with generator and load ramping.  United States: N. p., 2017. 
        Web.  doi:10.2172/1347676.

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                    Lecouvez, Matthew. Parallel-in-time methods for power grid problems with generator and load ramping.  United States.  https://doi.org/10.2172/1347676

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                    Lecouvez, Matthew. Tue .  
        "Parallel-in-time methods for power grid problems with generator and load ramping".  United States.  https://doi.org/10.2172/1347676.  https://www.osti.gov/servlets/purl/1347676.

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@article{osti_1347676,

  title        = {Parallel-in-time methods for power grid problems with generator and load ramping},

  author       = {Lecouvez, Matthew},

  abstractNote = {The objective of this technical memo is to describe the different methods that have been implemented and tested regarding the use of the MGRIT algorithm for generator and load ramping problems.},

  doi          = {10.2172/1347676},

  url          = {https://www.osti.gov/biblio/1347676},
  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {2017},

  month        = {1}

}

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