Computational experiment design for operations model simulation
Abstract
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.
- Publication:
-
Electric Power Systems Research
- Pub Date:
- December 2020
- DOI:
- 10.1016/j.epsr.2020.106680
- arXiv:
- arXiv:2004.11517
- Bibcode:
- 2020EPSR..18906680L
- Keywords:
-
- Optimization;
- Power system operations;
- Scientific computing;
- Electrical Engineering and Systems Science - Systems and Control;
- Mathematics - Optimization and Control
- E-Print:
- Accepted to 21st Power Systems Computation Conference