Loading...
Publication
Two-stage Stochastic Model using Benders' Decomposition for Large-scale Energy Resources Management in Smart grids
| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 1.06 MB | Adobe PDF |
Advisor(s)
Abstract(s)
The ever-increasing penetration level of renewable
energy and electric vehicles may threaten power grid operation.
Dealing with uncertainty in smart grids is critical in order to
mitigate possible issues. This research work proposes a two-stage
stochastic model for large-scale energy resources scheduling for
aggregators. The proposed model is designed for aggregators
managing a smart grid. The idea is to address the challenge
brought by the variability of demand, renewable energy, electric
vehicles, and market price variations while pursuing cost
minimization. Benders’ decomposition approach is implemented
to improve the tractability of the original model and its’
computational burden. A realistic case study is presented using a
real distribution network in Portugal with high penetration of
renewable energy and electric vehicles. The results show the
effectiveness and efficiency of the proposed approach when
compared with a deterministic formulation and suggest that
demand response and storage systems can mitigate the
uncertainty.
Description
Keywords
Benders decomposition Energy management Large-scale systems Optimization methods Power generation scheduling Stochastic systems Uncertainty