IM3 Projected U.S. Western Interconnection Grid Stress Dataset

Akdemir, Kerem Ziya; Mongird, Kendall; Bracken, Cameron; Burleyson, Casey; Kern, Jordan; Oikonomou, Konstantinos; Thurber, Travis; Vernon, Chris; Voisin, Nathalie; Zhao, Mengqi; Rice, Jennie

doi:10.57931/2497839

Title: IM3 Projected U.S. Western Interconnection Grid Stress Dataset

Dataset
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Abstract

This dataset provides projected grid stress and reliability results (including all model inputs and outputs from GO WEST and TEP) for Integrated Multisector, Multiscale Modeling (IM3) Phase 2 simulations across eight different scenarios for the U.S. Western Interconnection through 2055. The scenarios include combinations of two Shared Socioeconomic Pathways (SSP3 and SSP5) with four high-resolution climate projections specific to the United States from a set of Thermodynamic Global Warming (TGW) simulations. These climate projections include "hotter" and "cooler" variants for two Representative Concentration Pathways (RCP4.5 and RCP8.5). The resulting eight simulations are: rcp45cooler_ssp3 rcp45cooler_ssp5 rcp45hotter_ssp3 rcp45hotter_ssp5 rcp85cooler_ssp3 rcp85cooler_ssp5 rcp85hotter_ssp3 rcp85hotter_ssp5 GO WEST is an open-source power grid modeling framework for the U.S. Western Interconnection, which allows users to tailor the model depending on their research study and science questions. It covers 28 balancing authorities (BAs) and 12 states in U.S. Western Interconnection. GO WEST allows users to select different number of nodes and come up with a simplified network by utilizing 10,000 nodal topology of the U.S. Western Interconnection (ACTIVSg10k). Users can select different number of nodes, mathematical formulations (linear programming vs. mixed-integer linear programming), transmission line limit scaling factors, and hurdle rate scaling factors. GO WEST offers a unitmore »« less

Authors:

;

Pacific Northwest National Laboratory
North Carolina State University

Publication Date:: Thu Jan 09 04:00:00 UTC 2025

DOE Contract Number:: AC05-76RL01830

Research Org.:: Pacific Northwest National Lab (United States)

Sponsoring Org.:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

Subject:: Capacity Expansion Model; Economics; Electricity Markets; Energy; Grid Reliability; Grid Stress; Power System Model; Production Cost Model; Transmission Expansion Planning

OSTI Identifier:: 2497839

DOI:: https://doi.org/10.57931/2497839

Citation Formats


                    Akdemir, Kerem Ziya, Mongird, Kendall, Bracken, Cameron, Burleyson, Casey, Kern, Jordan, Oikonomou, Konstantinos, Thurber, Travis, Vernon, Chris, Voisin, Nathalie, Zhao, Mengqi, and Rice, Jennie. IM3 Projected U.S. Western Interconnection Grid Stress Dataset.  United States: N. p., 2025. 
        Web.  doi:10.57931/2497839.

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                    Akdemir, Kerem Ziya, Mongird, Kendall, Bracken, Cameron, Burleyson, Casey, Kern, Jordan, Oikonomou, Konstantinos, Thurber, Travis, Vernon, Chris, Voisin, Nathalie, Zhao, Mengqi, & Rice, Jennie. IM3 Projected U.S. Western Interconnection Grid Stress Dataset.  United States.  doi:https://doi.org/10.57931/2497839

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                    Akdemir, Kerem Ziya, Mongird, Kendall, Bracken, Cameron, Burleyson, Casey, Kern, Jordan, Oikonomou, Konstantinos, Thurber, Travis, Vernon, Chris, Voisin, Nathalie, Zhao, Mengqi, and Rice, Jennie. 2025.  
"IM3 Projected U.S. Western Interconnection Grid Stress Dataset".  United States.  doi:https://doi.org/10.57931/2497839.  https://www.osti.gov/servlets/purl/2497839. Pub date:Thu Jan 09 04:00:00 UTC 2025

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@article{osti_2497839,

  title        = {IM3 Projected U.S. Western Interconnection Grid Stress Dataset},

  author       = {Akdemir, Kerem Ziya and Mongird, Kendall and Bracken, Cameron and Burleyson, Casey and Kern, Jordan and Oikonomou, Konstantinos and Thurber, Travis and Vernon, Chris and Voisin, Nathalie and Zhao, Mengqi and Rice, Jennie},

  abstractNote = {This dataset provides projected grid stress and reliability results (including all model inputs and outputs from GO WEST and TEP) for Integrated Multisector, Multiscale Modeling (IM3) Phase 2 simulations across eight different scenarios for the U.S. Western Interconnection through 2055. The scenarios include combinations of two Shared Socioeconomic Pathways (SSP3 and SSP5) with four high-resolution climate projections specific to the United States from a set of Thermodynamic Global Warming (TGW) simulations. These climate projections include "hotter" and "cooler" variants for two Representative Concentration Pathways (RCP4.5 and RCP8.5). The resulting eight simulations are: rcp45cooler_ssp3 rcp45cooler_ssp5 rcp45hotter_ssp3 rcp45hotter_ssp5 rcp85cooler_ssp3 rcp85cooler_ssp5 rcp85hotter_ssp3 rcp85hotter_ssp5 GO WEST is an open-source power grid modeling framework for the U.S. Western Interconnection, which allows users to tailor the model depending on their research study and science questions. It covers 28 balancing authorities (BAs) and 12 states in U.S. Western Interconnection. GO WEST allows users to select different number of nodes and come up with a simplified network by utilizing 10,000 nodal topology of the U.S. Western Interconnection (ACTIVSg10k). Users can select different number of nodes, mathematical formulations (linear programming vs. mixed-integer linear programming), transmission line limit scaling factors, and hurdle rate scaling factors. GO WEST offers a unit commitment and economic dispatch (UC/ED) module to simulate grid operations on an hourly scale. In this sense, users can calibrate and validate their model versions by comparing model outputs to historical datasets.  TEP is an open-source transmission capacity expansion model, built on the GO WEST framework. It utilizes linear programming to optimize transmission capacity addition investment on existing lines within the GO WEST framework. The TEP model only increases the thermal capacity of existing transmission lines and does not add new lines to the system, which leaves the topology preserved. In order to use TEP model, users need to create scenarios with the GO WEST framework.  Please refer to README file for a detailed description of the dataset including individual files and references.},

  doi          = {10.57931/2497839},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Thu Jan 09 04:00:00 UTC 2025},

  month        = {Thu Jan 09 04:00:00 UTC 2025}

}

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DOI: https://doi.org/10.57931/2497839

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