A Metric-Based Validation Process to Assess the Realism of Synthetic Power Grids
Abstract
Public power system test cases that are of high quality benefit the power systems research community with expanded resources for testing, demonstrating, and cross-validating new innovations. Building synthetic grid models for this purpose is a relatively new problem, for which a challenge is to show that created cases are sufficiently realistic. This paper puts forth a validation process based on a set of metrics observed from actual power system cases. These metrics follow the structure, proportions, and parameters of key power system elements, which can be used in assessing and validating the quality of synthetic power grids. Though wide diversity exists in the characteristics of power systems, the paper focuses on an initial set of common quantitative metrics to capture the distribution of typical values from real power systems. The process is applied to two new public test cases, which are shown to meet the criteria specified in the metrics of this paper.
- Authors:
-
- Texas A & M Univ., College Station, TX (United States). Department of Electrical and Computer Engineering
- Arizona State Univ., Tempe, AZ (United States). School of Electrical, Computer and Energy Engineering
- Virginia Commonwealth Univ., Richmond, VA (United States). Department of Electrical and Computer Engineering
- Texas A & M Univ., College Station, TX (United States). Department of Electrical and Computer Engineering
- Publication Date:
- Research Org.:
- Univ. of Illinois, Chicago, IL (United States)
- Sponsoring Org.:
- USDOE Advanced Research Projects Agency - Energy (ARPA-E)
- OSTI Identifier:
- 1424922
- Grant/Contract Number:
- AR0000714
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Energies
- Additional Journal Information:
- Journal Volume: 10; Journal Issue: 12; Journal ID: ISSN 1996-1073
- Publisher:
- MDPI AG
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 42 ENGINEERING; 24 POWER TRANSMISSION AND DISTRIBUTION; synthetic networks; power system analysis; synthetic power grids; validation metrics; power system graph topology; Delaunay triangulation
Citation Formats
Birchfield, Adam, Schweitzer, Eran, Athari, Mir, Xu, Ti, Overbye, Thomas, Scaglione, Anna, and Wang, Zhifang. A Metric-Based Validation Process to Assess the Realism of Synthetic Power Grids. United States: N. p., 2017.
Web. doi:10.3390/en10081233.
Birchfield, Adam, Schweitzer, Eran, Athari, Mir, Xu, Ti, Overbye, Thomas, Scaglione, Anna, & Wang, Zhifang. A Metric-Based Validation Process to Assess the Realism of Synthetic Power Grids. United States. https://doi.org/10.3390/en10081233
Birchfield, Adam, Schweitzer, Eran, Athari, Mir, Xu, Ti, Overbye, Thomas, Scaglione, Anna, and Wang, Zhifang. Sat .
"A Metric-Based Validation Process to Assess the Realism of Synthetic Power Grids". United States. https://doi.org/10.3390/en10081233. https://www.osti.gov/servlets/purl/1424922.
@article{osti_1424922,
title = {A Metric-Based Validation Process to Assess the Realism of Synthetic Power Grids},
author = {Birchfield, Adam and Schweitzer, Eran and Athari, Mir and Xu, Ti and Overbye, Thomas and Scaglione, Anna and Wang, Zhifang},
abstractNote = {Public power system test cases that are of high quality benefit the power systems research community with expanded resources for testing, demonstrating, and cross-validating new innovations. Building synthetic grid models for this purpose is a relatively new problem, for which a challenge is to show that created cases are sufficiently realistic. This paper puts forth a validation process based on a set of metrics observed from actual power system cases. These metrics follow the structure, proportions, and parameters of key power system elements, which can be used in assessing and validating the quality of synthetic power grids. Though wide diversity exists in the characteristics of power systems, the paper focuses on an initial set of common quantitative metrics to capture the distribution of typical values from real power systems. The process is applied to two new public test cases, which are shown to meet the criteria specified in the metrics of this paper.},
doi = {10.3390/en10081233},
journal = {Energies},
number = 12,
volume = 10,
place = {United States},
year = {2017},
month = {8}
}
Web of Science
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Works referencing / citing this record:
A Framework for Generating Synthetic Distribution Feeders using OpenStreetMap
preprint, January 2019
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- arXiv