Details

Autor(en) / Beteiligte

• Birk Jones, C.
• Bresloff, Cynthia J.
• Darbali-Zamora, Rachid

Titel

Electric Grid Vulnerability Analysis to Identify Communities Prone to Wildfires

Ist Teil von

• IEEE access, 2023-01, Vol.11, p.1-1

Ort / Verlag

Piscataway: IEEE

Erscheinungsjahr

2023

Quelle

Free E-Journal (出版社公開部分のみ）

Beschreibungen/Notizen

• Natural hazards, like wildfires, present various challenges to the electric grid that can leave many communities without power. To identify vulnerabilities in the grid and the corresponding at-risk communities, this work considers the implementation of two topological assessment approaches, namely betweenness centrality and minimum cut, and combines the results from each with spatial fire probability data. The results from a betweenness centrality analysis identified at-risk communities whose critical lines, necessary for routing power to the community from the numerous generators, were found to be at-risk if they were located within high probability burn zones. Communities at-risk of separation from the grid with one cut (or electrical shorting) of a transmission line due it's proximity to a high burn probability (BP) area were also identified using the minimum cut Graph Theory algorithm. When the methodologies were applied to a demonstration transmission grid, the results found that about about one third of the 585 substations had centrally located lines in high BP areas. About 46% of the substations require just one cut to be removed from the grid, and the average length of these one-cut segments were 37 km with the longest at 188 km.