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Energies 2017, 10(8), 1233; https://doi.org/10.3390/en10081233

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

1
Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA
2
School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ 85287, USA
3
Department of Electrical and Computer Engineering, Virginia Commonwealth University, Richmond, VA 23284, USA
*
Author to whom correspondence should be addressed.
Received: 27 July 2017 / Revised: 16 August 2017 / Accepted: 16 August 2017 / Published: 19 August 2017
(This article belongs to the Section Electrical Power and Energy System)
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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. View Full-Text
Keywords: synthetic networks; power system analysis; synthetic power grids; validation metrics; power system graph topology; Delaunay triangulation synthetic networks; power system analysis; synthetic power grids; validation metrics; power system graph topology; Delaunay triangulation
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Birchfield, A.B.; Schweitzer, E.; Athari, M.H.; Xu, T.; Overbye, T.J.; Scaglione, A.; Wang, Z. A Metric-Based Validation Process to Assess the Realism of Synthetic Power Grids. Energies 2017, 10, 1233.

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