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

被引:51
|
作者
Birchfield, Adam B. [1 ]
Schweitzer, Eran [2 ]
Athari, Mir Hadi [3 ]
Xu, Ti [1 ]
Overbye, Thomas J. [1 ]
Scaglione, Anna [2 ]
Wang, Zhifang [3 ]
机构
[1] Texas A&M Univ, Dept Elect & Comp Engn, College Stn, TX 77843 USA
[2] Arizona State Univ, Sch Elect Comp & Energy Engn, Tempe, AZ 85287 USA
[3] Virginia Commonwealth Univ, Dept Elect & Comp Engn, Richmond, VA 23284 USA
关键词
synthetic networks; power system analysis; synthetic power grids; validation metrics; power system graph topology; Delaunay triangulation;
D O I
10.3390/en10081233
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
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
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页数:14
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