U.S. Department of EnergyOffice of Scientific and Technical Information
Modeling the U.S. Western Electric Interconnection to Understand the Consequences of Hydrometeorological Extremes and Options for Risk Mitigation
Abstract
Electricity grid operators around the world face a dual challenge; withstanding increasingly severe weather and the longer term impacts of climate change, while simultaneously decarbonizing. Extreme weather events such as heat waves and droughts are rising in both severity and frequency, which is threatening the reliability of electricity grids through increased demand, generation capacity losses, and equipment failures. Consequently, incorporating hydrometeorological stressors into computational power systems analysis is becoming an even more critical tool in long term planning and short term operations. However, there is a general lack of open-source customizable grid simulation software capable of exhaustively stress testing the grid under hydrometeorological uncertainty, and/or examining potential risk mitigation pathways. A related, persistent challenge for power system modelers is striking an appropriate balance between model fidelity (e.g. spatial scale and time resolution) and computational tractability (wall clock run-time). In this study, we are proposing a solution to this problem with open-source software that allows users to seamlessly customize the scale and track the accuracy of grid operations models. Our approach allows users to search over numerous model parameters (network topology, mathematical formulation, economic hurdle rates, and transmission line scaling) to identify model instantiations that accommodate experimental design. Further, we usemore »
- Authors:
-
;
;
;
- North Carolina State University; Pacific Northwest National Laboratory
- Pacific Northwest National Laboratory
- North Carolina State University
- Publication Date:
- Research Org.:
- MultiSector Dynamics - Living, Intuitive, Value-adding, Environment
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- Subject:
- Economics; Electricity Markets; Energy; Network Reduction; Power System Model; Production Cost Model
- OSTI Identifier:
- 1997000
- DOI:
- https://doi.org/10.57931/1997000
Citation Formats
Akdemir, Kerem Ziya, Oikonomou, Konstantinos, Kern, Jordan, and Voisin, Nathalie. Modeling the U.S. Western Electric Interconnection to Understand the Consequences of Hydrometeorological Extremes and Options for Risk Mitigation. United States: N. p., 2023.
Web. doi:10.57931/1997000.
Akdemir, Kerem Ziya, Oikonomou, Konstantinos, Kern, Jordan, & Voisin, Nathalie. Modeling the U.S. Western Electric Interconnection to Understand the Consequences of Hydrometeorological Extremes and Options for Risk Mitigation. United States. doi:https://doi.org/10.57931/1997000
Akdemir, Kerem Ziya, Oikonomou, Konstantinos, Kern, Jordan, and Voisin, Nathalie. 2023.
"Modeling the U.S. Western Electric Interconnection to Understand the Consequences of Hydrometeorological Extremes and Options for Risk Mitigation". United States. doi:https://doi.org/10.57931/1997000. https://www.osti.gov/servlets/purl/1997000. Pub date:Tue May 23 04:00:00 UTC 2023
@article{osti_1997000,
title = {Modeling the U.S. Western Electric Interconnection to Understand the Consequences of Hydrometeorological Extremes and Options for Risk Mitigation},
author = {Akdemir, Kerem Ziya and Oikonomou, Konstantinos and Kern, Jordan and Voisin, Nathalie},
abstractNote = {Electricity grid operators around the world face a dual challenge; withstanding increasingly severe weather and the longer term impacts of climate change, while simultaneously decarbonizing. Extreme weather events such as heat waves and droughts are rising in both severity and frequency, which is threatening the reliability of electricity grids through increased demand, generation capacity losses, and equipment failures. Consequently, incorporating hydrometeorological stressors into computational power systems analysis is becoming an even more critical tool in long term planning and short term operations. However, there is a general lack of open-source customizable grid simulation software capable of exhaustively stress testing the grid under hydrometeorological uncertainty, and/or examining potential risk mitigation pathways. A related, persistent challenge for power system modelers is striking an appropriate balance between model fidelity (e.g. spatial scale and time resolution) and computational tractability (wall clock run-time). In this study, we are proposing a solution to this problem with open-source software that allows users to seamlessly customize the scale and track the accuracy of grid operations models. Our approach allows users to search over numerous model parameters (network topology, mathematical formulation, economic hurdle rates, and transmission line scaling) to identify model instantiations that accommodate experimental design. Further, we use this approach to demonstrate the importance of including extreme weather events in model validation and model selection. Focusing on the occurrence of heatwaves and droughts in the U.S. Western Interconnection, we examine role of extreme events in balancing tradeoffs between model fidelity and run-time at the model design stage.},
doi = {10.57931/1997000},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue May 23 04:00:00 UTC 2023},
month = {Tue May 23 04:00:00 UTC 2023}
}