A Metric-Based Validation Process to Assess the Realism of Synthetic Power Grids

Adam B. Birchfield, Eran Schweitzer, Mir Hadi Athari, Ti Xu, Thomas J. Overbye, Anna Scaglione and Zhifang Wang
Additional contact information
Adam B. Birchfield: Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA
Eran Schweitzer: School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ 85287, USA
Mir Hadi Athari: Department of Electrical and Computer Engineering, Virginia Commonwealth University, Richmond, VA 23284, USA
Ti Xu: Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA
Thomas J. Overbye: Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA
Anna Scaglione: School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ 85287, USA
Zhifang Wang: Department of Electrical and Computer Engineering, Virginia Commonwealth University, Richmond, VA 23284, USA

Energies, 2017, vol. 10, issue 8, 1-14

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.

Keywords: synthetic networks; power system analysis; synthetic power grids; validation metrics; power system graph topology; Delaunay triangulation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.mdpi.com/1996-1073/10/8/1233/pdf (application/pdf)
https://www.mdpi.com/1996-1073/10/8/1233/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:10:y:2017:i:8:p:1233-:d:108917

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().