Visualization of Multi-Fidelity Approximations of Stochastic Economic Dispatch

Research output: Contribution to conferencePaperpeer-review

Abstract

As renewable energy generation deployment increases, the operation of electrical grids becomes more complex. Economic dispatch is part of a grid operator's regular decision process where the amount of energy to generate is determined based on the number of available generators and the actual level of energy demand. Renewable generators are inherently stochastic due to the chaotic nature of weather patterns, and thus, real-time decisions of economic dispatch become increasingly complex. Modeling efforts to assist in these decisions in the highest fidelity typically take hours to days to solve on leadership-class computers; too long for the 5-minute operational time-frame demanded of operators. Alternatively, multi-fidelity approximations can be used to predict generation levels quickly and with sufficient accuracy to be used for real-time operations. We have developed a visualization tool to demonstrate the utility of multi-fidelity approximations by displaying contextual results of economic dispatch approximations, comparisons across fidelity levels of generation levels and possible failures to meet demand, and meta-data on the modeling setup.

Original languageAmerican English
Pages372-376
Number of pages5
DOIs
StatePublished - 22 Jun 2021
Event12th ACM International Conference on Future Energy Systems, e-Energy 2021 - Virtual, Online, Italy
Duration: 28 Jun 20212 Jul 2021

Conference

Conference12th ACM International Conference on Future Energy Systems, e-Energy 2021
Country/TerritoryItaly
CityVirtual, Online
Period28/06/212/07/21

Bibliographical note

Publisher Copyright:
© 2021 ACM.

NREL Publication Number

  • NREL/CP-2C00-79785

Keywords

  • interactive visualization
  • multi-fidelity
  • power systems
  • stochastic economic dispatch

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