Cooperative Transmission Expansion Planning Experiment Data and Results

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

doi:10.57931/2338087

Title: Cooperative Transmission Expansion Planning Experiment Data and Results

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Abstract

GO WEST is an open-source power grid modeling framework for U.S. Western Interconnection, which allows users to tailor the model depending on their research study and science questions. It covers 28 balancing authorities (BA) 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 U.S. Western Interconnection created by Texas A&M University. Users can try and 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 GO WEST framework. It utilizes linear programming to optimize transmission capacity addition investment on existing lines within GO WEST framework. In this sense, 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. TEP minimizes the total cost ofmore »« less

Authors:

;

Pacific Northwest National Laboratory
North Carolina State University

Publication Date:: Tue Jul 02 00:00:00 EDT 2024

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; Power System Model; Production Cost Model; Transmission Expansion Planning

OSTI Identifier:: 2338087

DOI:: https://doi.org/10.57931/2338087

Citation Formats


                    Akdemir, Kerem Ziya, Mongird, Kendall, Kern, Jordan, Oikonomou, Konstantinos, Voisin, Nathalie, Burleyson, Casey, Rice, Jennie, Zhao, Mengqi, Bracken, Cameron, and Vernon, Chris. Cooperative Transmission Expansion Planning Experiment Data and Results.  United States: N. p., 2024. 
        Web.  doi:10.57931/2338087.

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                    Akdemir, Kerem Ziya, Mongird, Kendall, Kern, Jordan, Oikonomou, Konstantinos, Voisin, Nathalie, Burleyson, Casey, Rice, Jennie, Zhao, Mengqi, Bracken, Cameron, & Vernon, Chris. Cooperative Transmission Expansion Planning Experiment Data and Results.  United States.  doi:https://doi.org/10.57931/2338087

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                    Akdemir, Kerem Ziya, Mongird, Kendall, Kern, Jordan, Oikonomou, Konstantinos, Voisin, Nathalie, Burleyson, Casey, Rice, Jennie, Zhao, Mengqi, Bracken, Cameron, and Vernon, Chris. 2024.  
"Cooperative Transmission Expansion Planning Experiment Data and Results".  United States.  doi:https://doi.org/10.57931/2338087.  https://www.osti.gov/servlets/purl/2338087. Pub date:Tue Jul 02 00:00:00 EDT 2024

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@article{osti_2338087,

  title        = {Cooperative Transmission Expansion Planning Experiment Data and Results},

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

  abstractNote = {GO WEST is an open-source power grid modeling framework for U.S. Western Interconnection, which allows users to tailor the model depending on their research study and science questions. It covers 28 balancing authorities (BA) 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 U.S. Western Interconnection created by Texas A&M University. Users can try and 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 GO WEST framework. It utilizes linear programming to optimize transmission capacity addition investment on existing lines within GO WEST framework. In this sense, 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. TEP minimizes the total cost of the system which comprises the operational cost of satisfying electricity demand (i.e., generation cost), cost of loss of load (i.e., unserved energy), cost of power flow, and cost of new transmission capacity additions (i.e., investment cost). In order to use TEP model, users need to create scenarios with GO WEST framework. In this analysis, outputs from several models are used to create future inputs to GO WEST and TEP models, including GCAM-USA, TELL, CERF and reV. This dataset includes experiment inputs and outputs from three different transmission expansion scenarios (cooperative, intermediate, and individual) for 2019 and 2059. For 2019, a base scenario to illustrate the default (i.e., historical) power grid operations is also included. This study utilizes rcp45hotter_ssp3 scenario from a previous version of GCAM-USA simulations. Sources of the shapefiles in supplementary data are HIFLD Open and U.S. Energy Atlas. Please see the README file for a detailed description of the main and supplementary data.},

  doi          = {10.57931/2338087},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Tue Jul 02 00:00:00 EDT 2024},

  month        = {Tue Jul 02 00:00:00 EDT 2024}

}

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DOI: https://doi.org/10.57931/2338087

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