Id Number: 251 Title: Creating a Portfolio of Large-Scale, High-Quality Synthetic Grids: A Case Study

7 Pages Posted: 23 Nov 2023

See all articles by Farnaz Safdarian

Farnaz Safdarian

Texas A&M University

Sanjana Kunkolienkar

Texas A&M University

Jonathan Snodgrass

Texas A&M University

Adam Birchfield

Texas A&M University

Thomas J. Overbye

Texas A&M University

Abstract

This paper provides a case study methodology for creating a portfolio of large-scale, high-quality, fictitious but realistic (synthetic) power system models that have been developed based on the publicly available generation and load data of 2019 and then upgraded based on predicted generation and load changes by 2030. As the power grids are constantly changing, instead of creating a case from scratch with future data, we present a strategy to upgrade the same grid, to mimic what is needed for real grid planning. The generators are updated based on proposed generators in the queue from the U.S. Energy Information Administration (EIA) and Electric Reliability Council of Texas (ERCOT) long-term plans. The transmission grid is improved to adjust to these changes. The synthetic grid is created over ERCOT footprint in the U.S. with the capability to represent characteristic features of actual power grids, without revealing any confidential information. This synthetic network model is available online and can be shared freely for research and comparisons in different studies on the future grid with the increased penetration of renewable resources. Geographic Data views and validation metrics derived from the North American real grids are used to validate the developed grids.

Keywords: large scale synthetic grids, power system characteristics, Renewable Energies, Transmission expansion planning

Suggested Citation

Safdarian, Farnaz and Kunkolienkar, Sanjana and Snodgrass, Jonathan and Birchfield, Adam and Overbye, Thomas J., Id Number: 251 Title: Creating a Portfolio of Large-Scale, High-Quality Synthetic Grids: A Case Study. Available at SSRN: https://ssrn.com/abstract=4642630 or http://dx.doi.org/10.2139/ssrn.4642630

Farnaz Safdarian (Contact Author)

Texas A&M University ( email )

Sanjana Kunkolienkar

Texas A&M University ( email )

Jonathan Snodgrass

Texas A&M University ( email )

Adam Birchfield

Texas A&M University ( email )

Thomas J. Overbye

Texas A&M University ( email )

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