O'Fallon, C.
and Gopstein, A.
(2023),
Generator Fleet Characteristics Model, Technical Note (NIST TN), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.TN.2246, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=935807
(Accessed November 21, 2024)
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Generator Fleet Characteristics Model
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Author(s)
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Abstract
This manuscript presents the Generator Fleet Characteristics Model (GFCM), a general purpose tool for the analysis of power system operations, economics, and resilience. The GFCM is a collection of MATLAB functions that use publicly available data with national coverage to produce year-long (8760 hour) analyses of the electric grid at the balancing authority level. As the name implies, the GFCM builds up a series of snapshots of electric grid conditions and outcomes using the economics of the generator fleet as a starting point for understanding system complexity and dynamics. While the synchronous inertia application we present here uses the GFCM to build a detailed picture of the present state of electric grid operations and market outcomes, the model is designed to facilitate counterfactual study as well. The GFCM forms a modeling framework intended to aide in the formulation of ''what if'' questions regarding how the grid might operate under changing ambient conditions while harnessing evolving technologies.Citation
Technical Note (NIST TN) - 2246
Report Number
2246
NIST Pub Series
Pub Type
NIST Pubs
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Keywords
Economics, Electricity, Generator Fleet, Infrastructure, Interoperability, Operations, Power Systems, Resilience, Smart Grid, Synchronous Inertia.
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Created February 6, 2023