Wildfire Risk to Electric Transmission & Distribution Assets: A Comprehensive Analysis of Vulnerability, Mitigation, and Resilience Strategies
DOI:
https://doi.org/10.61424/rjbe.v3i1.448Keywords:
Distribution Systems, Ignition Risk, Power Systems, Resilience, WildfireAbstract
The increasing frequency and intensity of wildfires pose significant threats to electric transmission and distribution infrastructure, creating cascading effects on power system reliability and community resilience. This research examines the complex nexus between wildfire hazards and electric grid vulnerability through a comprehensive analysis of risk assessment methodologies, mitigation strategies, and resilience enhancement approaches. The study synthesizes current literature on wildfire-grid interactions, analyzing both the mechanisms by which electrical infrastructure can ignite fires and the ways in which wildfires can damage power systems. Key findings indicate that power lines are responsible for approximately 10-15% of wildfire ignitions, while simultaneously being highly vulnerable to wildfire damage that can result in extensive outages affecting millions of customers. The research reveals that traditional grid designs inadequately address wildfire risks, necessitating innovative approaches including probabilistic risk modeling, enhanced vegetation management, advanced monitoring systems, and strategic power shutoffs. The methodology employed involves a systematic literature review of 25 peer-reviewed studies spanning vulnerability assessments, risk mitigation models, and operational strategies. Results demonstrate that integrated approaches combining real-time risk assessment, proactive line hardening, and adaptive operational protocols can significantly reduce both ignition probability and system vulnerability. The study identifies critical research gaps in understanding cascading failure mechanisms and the economic optimization of resilience investments. Recommendations include developing standardized wildfire risk metrics, implementing machine learning-based early warning systems, and establishing comprehensive regulatory frameworks that balance fire safety with electric reliability. This research contributes to the growing body of knowledge on climate-resilient infrastructure design and provides actionable insights for utilities, regulators, and policymakers addressing wildfire challenges in power systems.
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Copyright (c) 2025 Paschal Chisom Aniebonam, Sabastine Obum Aniebonam, Taiwo Olatunbosun Quadri, Kehinde Olúwasayo Akinola, Nicholas Tetteh Ofoe, Tajudeen Oluwafemi Amuda

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.