Abstract
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 language | American English |
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Number of pages | 8 |
State | Published - 2022 |
Event | 2022 IEEE Power & Energy Society General Meeting - Denver, Colorado Duration: 17 Jul 2022 → 21 Jul 2022 |
Conference
Conference | 2022 IEEE Power & Energy Society General Meeting |
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City | Denver, Colorado |
Period | 17/07/22 → 21/07/22 |
Bibliographical note
See NREL/CP-5D00-84949 for paper as published in proceedingsNREL Publication Number
- NREL/CP-5D00-81405
Keywords
- energy scheduling
- optimization
- power systems
- wildfires