Time Domain Partitioning of Electricity Production Cost Simulations

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Production cost models are often used for planning by simulating power system operations over long time horizons. The simulation of a day-ahead energy market can take several weeks to compute. Tractability improvements are often made through model simplifications, such as: reductions in transmission modeling detail, relaxation of commitment variable integrality, reductions in cost modeling detail, etc. One common simplification is to partition the simulation horizon so that weekly or monthly horizons can be simulated in parallel. However, horizon partitions are often executed with overlap periods of arbitrary and sometimes zero length. We calculate the time domain persistence of historical unit ... continued below

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34 p.

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Barrows, C.; Hummon, M.; Jones, W. & Hale, E. January 1, 2014.

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Description

Production cost models are often used for planning by simulating power system operations over long time horizons. The simulation of a day-ahead energy market can take several weeks to compute. Tractability improvements are often made through model simplifications, such as: reductions in transmission modeling detail, relaxation of commitment variable integrality, reductions in cost modeling detail, etc. One common simplification is to partition the simulation horizon so that weekly or monthly horizons can be simulated in parallel. However, horizon partitions are often executed with overlap periods of arbitrary and sometimes zero length. We calculate the time domain persistence of historical unit commitment decisions to inform time domain partitioning of production cost models. The results are implemented using PLEXOS production cost modeling software in an HPC environment to improve the computation time of simulations while maintaining solution integrity.

Physical Description

34 p.

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  • Report No.: NREL/TP-6A20-60969
  • Grant Number: AC36-08GO28308
  • DOI: 10.2172/1123223 | External Link
  • Office of Scientific & Technical Information Report Number: 1123223
  • Archival Resource Key: ark:/67531/metadc872800

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  • January 1, 2014

Added to The UNT Digital Library

  • Sept. 16, 2016, 12:32 a.m.

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  • April 5, 2017, 6:28 p.m.

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Barrows, C.; Hummon, M.; Jones, W. & Hale, E. Time Domain Partitioning of Electricity Production Cost Simulations, report, January 1, 2014; Golden, Colorado. (digital.library.unt.edu/ark:/67531/metadc872800/: accessed August 20, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.