A robust MILP model optimizes battery storage locations and transmission line undergrounding under worst-case wildfire de-energization and renewable uncertainty using representative weeks, uncertainty sets, and column-and-constraint generation, tested on the San Diego system.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
method 1
citation-polarity summary
fields
math.OC 1years
2026 1verdicts
UNVERDICTED 1roles
method 1polarities
use method 1representative citing papers
citing papers explorer
-
Robust Capacity Expansion under Wildfire Ignition Risk and High Renewable Penetration
A robust MILP model optimizes battery storage locations and transmission line undergrounding under worst-case wildfire de-energization and renewable uncertainty using representative weeks, uncertainty sets, and column-and-constraint generation, tested on the San Diego system.