A Metric-Based Validation Process to Assess the Realism of Synthetic Power Grids
- Texas A & M Univ., College Station, TX (United States). Department of Electrical and Computer Engineering; Texas A&M University
- 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
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.
- Research Organization:
- Univ. of Illinois, Chicago, IL (United States)
- Sponsoring Organization:
- USDOE Advanced Research Projects Agency - Energy (ARPA-E)
- Grant/Contract Number:
- AR0000714
- OSTI ID:
- 1424922
- Journal Information:
- Energies, Journal Name: Energies Journal Issue: 12 Vol. 10; ISSN 1996-1073; ISSN ENERGA
- Publisher:
- MDPI AGCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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