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Computational Experiment Design for Operations Model Simulation

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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.

Author(s):

Jose Daniel Lara    
Energy and Resources Group, UC Berkeley
United States

Jonathan T. Lee    
Energy and Resources Group, UC Berkeley
United States

Duncan Callaway    
Energy and Resources Group, UC Berkeley
United States

Bri-Mathias Hodge    
Electrical, Computer & Energy Engineering, University of Colorado Boulder
United States

 

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