Managing Power Systems-Induced Wildfire Risks Using Optimal Scheduled Shutoffs

Ayla Astudillo, Bai Cui, Ahmed Zamzam

Research output: Contribution to conferencePaperpeer-review

3 Scopus Citations


The increasing demands for electricity and the increase in extreme weather conditions are putting unprecedented pressure on our electric grids. Often, this pressure leads to electrical component failures, which might ignite wildfires. This work develops a novel model to balance the reliability of power network operations and the risk of wildfire ignition by optimizing the operational schedule of power transmission networks considering time-varying risk measures that include exogenous and operational factors. Energy storage systems are considered to deliver power during peak wildfire hours and enable temporal load shifting. The problem is formulated as a mixed-integer linear program that maximizes a weighted sum of the served power demand and the reduction in grid-induced wildfire risk. The results demonstrate the ability of the model to significantly reduce wildfire risk without considerable load shedding.

Original languageAmerican English
Number of pages5
StatePublished - 2022
Event2022 IEEE Power and Energy Society General Meeting, PESGM 2022 - Denver, United States
Duration: 17 Jul 202221 Jul 2022


Conference2022 IEEE Power and Energy Society General Meeting, PESGM 2022
Country/TerritoryUnited States

Bibliographical note

See NREL/CP-5D00-81405 for preprint

NREL Publication Number

  • NREL/CP-5D00-84949


  • power systems operations
  • proactive scheduling
  • wildfire-resilient power systems
  • wildfires risk management


Dive into the research topics of 'Managing Power Systems-Induced Wildfire Risks Using Optimal Scheduled Shutoffs'. Together they form a unique fingerprint.

Cite this