Paper: arXiv 2502.09629

Authors: Saeed Nematshahi, Amin Khodaei, Ali Arabnya

Abstract

In recent years, the frequency and intensity of grid-ignited wildfires have increased significantly, leading to an elevated level of risk exposure to public safety and financial repercussions for electric utilities threatening their solvency. It is, therefore, imperative for electric utilities to accurately assess the financial impact of potential wildfires ignited by their power infrastructure. This is a critical step toward developing risk-informed strategies to mitigate grid-ignited wildfires from both operational and financial perspectives. This paper proposes and develops an integrated model to evaluate the damage costs associated with potential grid-ignited wildfires to allow assessing financial risk with greater precision than existing literature. The proposed model is tailored to assess the financial risk associated with grid-ignited wildfires, including environmental damages, destroyed structures, and damage to the power grid assets. We quantify the risk associated with each power line, thereby identifying areas that require immediate preemptive actions. To visually represent the risk levels associated with the transmission grid topology, we implement a color-coded risk heatmap. The heatmap categorizes risk levels as follows: low-risk areas are denoted in white, moderate-low risk regions in green, medium-risk areas in yellow, and high-risk zones in red…

Complexity vs Empirical Score

  • Math Complexity: 2.5/10
  • Empirical Rigor: 6.0/10
  • Quadrant: Street Traders — practical and empirical, lighter on theory

Why this score: The paper provides a practical simulation-based framework integrating public geospatial databases (LANDFIRE, OpenStreetMap) with FARSITE software to estimate grid-ignited wildfire financial impacts. While mathematical modeling is minimal (mostly spatial overlay matrix aggregation and cost summation), the methodology addresses a major empirical gap by accounting for third-party structural damage costs rather than relying on uniform acreage-cost assumptions.

Research Flowchart

  flowchart TD
    A[Research Goal: Assess Financial Impact & Risk of Grid-Ignited Wildfires] --> B[Data Inputs: Power Grid Topology, Environmental Data & Asset Values]
    B --> C[Integrated Financial Damage Cost Model]
    C --> D[Quantify Risk Per Power Line: Grid Assets, Structures & Environmental Damage]
    D --> E[Outcomes: Color-Coded Risk Heatmap & Identified High-Risk Zones for Preemptive Action]