Managing Power Systems-Induced Wildfire Risks Using Optimal Scheduled Shutoffs: Preprint

Ayla Astudillo, Bai Cui, Ahmed Zamzam

Research output: Contribution to conferencePaper


The growing demands for electricity and the increase in extreme weather conditions are putting unprecedented pressure on our electrical grids. Oftentimes, this pressure leads to electrical components failures which might ignite wildfires. This work develops a novel model to balance the reliability of power networks operations and risks of wildfires ignition by optimizing the operational schedule of power transmission networks considering time-varying risk measures that consider 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 wildfires risk. The results demonstrate the ability of the model to reduce wildfires risks significantly without considerable load shedding.
Original languageAmerican English
Number of pages8
StatePublished - 2022
Event2022 IEEE Power & Energy Society General Meeting - Denver, Colorado
Duration: 17 Jul 202221 Jul 2022


Conference2022 IEEE Power & Energy Society General Meeting
CityDenver, Colorado

Bibliographical note

See NREL/CP-5D00-84949 for paper as published in proceedings

NREL Publication Number

  • NREL/CP-5D00-81405


  • energy scheduling
  • optimization
  • power systems
  • wildfires


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