IM3 GO WEST Parameter Search Dataset

Akdemir, Kerem Ziya; Oikonomou, Konstantinos; Kern, Jordan; Voisin, Nathalie

doi:10.57931/1923267

Title: IM3 GO WEST Parameter Search Dataset

Dataset
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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 is developed to address weather and water dynamics, and associated vulnerabilities in this bulk power system. 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. Therefore, GO WEST can help researchers to strike a balance between model fidelity (i.e. accuracy) and computational complexity (i.e. runtime). This dataset includes model inputs and outputs from 600 model versions for each 2019, 2020, and 2021. The folder naming convention is as follows: Exp{Number of Nodes}_{Mathematicalmore »« less

Authors:

;

North Carolina State University
Pacific Northwest National Laboratory

Publication Date:: Sun Feb 05 04:00:00 UTC 2023

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

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:: 1923267

DOI:: https://doi.org/10.57931/1923267

Citation Formats


                    Akdemir, Kerem Ziya, Oikonomou, Konstantinos, Kern, Jordan, and Voisin, Nathalie. IM3 GO WEST Parameter Search Dataset.  United States: N. p., 2023. 
        Web.  doi:10.57931/1923267.

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                    Akdemir, Kerem Ziya, Oikonomou, Konstantinos, Kern, Jordan, & Voisin, Nathalie. IM3 GO WEST Parameter Search Dataset.  United States.  doi:https://doi.org/10.57931/1923267

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                    Akdemir, Kerem Ziya, Oikonomou, Konstantinos, Kern, Jordan, and Voisin, Nathalie. 2023.  
"IM3 GO WEST Parameter Search Dataset".  United States.  doi:https://doi.org/10.57931/1923267.  https://www.osti.gov/servlets/purl/1923267. Pub date:Sun Feb 05 04:00:00 UTC 2023

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@article{osti_1923267,

  title        = {IM3 GO WEST Parameter Search Dataset},

  author       = {Akdemir, Kerem Ziya and Oikonomou, Konstantinos and Kern, Jordan and Voisin, Nathalie},

  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 is developed to address weather and water dynamics, and associated vulnerabilities in this bulk power system. 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. Therefore, GO WEST can help researchers to strike a balance between model fidelity  (i.e. accuracy) and computational complexity (i.e. runtime).  This dataset includes model inputs and outputs from 600 model versions for each 2019, 2020, and 2021. The folder naming convention is as follows: Exp{Number of Nodes}_{Mathematical Formulation}_{Transmission Line Limit Scaling Factor in MW}_{Hurdle Rate Scaling Factor in %}_{Year}. Linear programming is designated with "simple" label whereas mixed-integer linear programming is designated with "coal" label. For example, "Exp100_simple_1000_50_2019" folder contains inputs and outputs from 2019 model version with 100 nodes, linear programming, +1000 MW transmission line limit scaling factor, and +50% hurdle rate scaling factor. GO WEST GitHub repository hosts all raw datasets, processing scripts, and model scripts. Please refer to the README file for a detailed description of the included files.},

  doi          = {10.57931/1923267},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Sun Feb 05 04:00:00 UTC 2023},

  month        = {Sun Feb 05 04:00:00 UTC 2023}

}

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DOI: https://doi.org/10.57931/1923267

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