Quantification of Area Sparsity for Large-Scale Electric Grids

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This paper quantifies the likelihood of two substations being connected based on the topology to improve and build more realistic synthetic grids with evaluating the idea that in North American power grids, two substations are more likely to be connected if they belong to the same area than to different areas. Statistical methods are used to identify and visualize the topological differences between real and synthetic grids and how areas to which a substation belongs influence how likely the substations are to be connected. This paper defines a new term, Area Sparsity, to quantity the relationship between substation connectedness and highlights the need to explicitly incorporate the power grid areas into creating more realistic synthetic grids. The results show that the actual grids are more connected in the same area; however, this is not the case for the existing large-scale synthetic grids.

Recommended citation: Kunkolienkar, Sanjana, Farnaz Safdarian, Jonathan Snodgrass, and Thomas Overbye. “Quantification of Area Sparsity in Large-Scale Electric Grids.” (2023).

Recommended citation: Kunkolienkar, Sanjana, Farnaz Safdarian, Jonathan Snodgrass, and Thomas Overbye. "Quantification of Area Sparsity in Large-Scale Electric Grids." (2023).
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