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Title: 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:
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [3];  [4];  [4];  [2];  [3]
  1. Texas A & M Univ., College Station, TX (United States). Department of Electrical and Computer Engineering
  2. Arizona State Univ., Tempe, AZ (United States). School of Electrical, Computer and Energy Engineering
  3. Virginia Commonwealth Univ., Richmond, VA (United States). Department of Electrical and Computer Engineering
  4. 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 (Basel)
Additional Journal Information:
Journal Name: Energies (Basel); 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. https://doi.org/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 (Basel)},
number = 12,
volume = 10,
place = {United States},
year = {2017},
month = {8}
}

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