A robust bilevel optimization model for day-ahead EV fleet charging, recast as a MILP using total unimodularity, reduces real-time energy deviations by about half at roughly a 10% cost increase in a 29-day simulation.
The impact of electric vehicle deployment on load management straregies,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SY 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Day-ahead Operation of an Aggregator of Electric Vehicles via Optimization under Uncertainty
A robust bilevel optimization model for day-ahead EV fleet charging, recast as a MILP using total unimodularity, reduces real-time energy deviations by about half at roughly a 10% cost increase in a 29-day simulation.