Computational Experiment Design for Operations Model Simulation

Jose Lara, Jonathan Lee, Duncan Callaway, Bri-Mathias Hodge

Research output: Contribution to journalArticlepeer-review

4 Scopus Citations


Computer simulations that demonstrate the value of novel approaches are crucial to developing more flexible and robust power systems operations with high penetrations of renewable energy at multiple geographic and temporal scales. However, optimization-based simulations that depend on forecast data often face challenges in evaluating performance, reproducing results, and testing under realistic simulation scenarios. In this paper, we develop scientific computing best-practices for the validation and reproduction of power systems operational models. We then employ two case studies to demonstrate the proposed validation and reproduction framework.

Original languageAmerican English
Article number106680
Number of pages7
JournalElectric Power Systems Research
StatePublished - 2020

Bibliographical note

Publisher Copyright:
© 2020 Elsevier B.V.

NREL Publication Number

  • NREL/JA-5D00-77677


  • Optimization
  • Power system operations
  • Scientific computing


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