LAPSE:2026.0017
Model
LAPSE:2026.0017
Model Formulation for: The Value of Multi-Stage Stochastic Programming in Power Grid Capacity Expansion Planning
January 31, 2026. Originally submitted on January 30, 2026
Abstract
This deterministic model formulation describes one root-to-leaf path in a scenario tree that describes the evolution of uncertainty for power grid capacity expansion planning problems. The main manuscript then extends this deterministic formulation to multi-stage and two-stage stochastic programs.
This deterministic model formulation describes one root-to-leaf path in a scenario tree that describes the evolution of uncertainty for power grid capacity expansion planning problems. The main manuscript then extends this deterministic formulation to multi-stage and two-stage stochastic programs.
Record ID
Keywords
Capacity Expansion Planning, Energy Storage Systems, Generation, Mixed-Integer Linear Programming, Power Systems Modeling, Stochastic Programming, Transmission
Subject
Suggested Citation
Bugosen S, Valencia T, Watson JP, Gounaris C, Laird C. Model Formulation for: The Value of Multi-Stage Stochastic Programming in Power Grid Capacity Expansion Planning. (2026). LAPSE:2026.0017
Author Affiliations
Year
2026
Publication Date
2026-01-31
Version Comments
Revision of Version 1
Other Meta
This manuscript corresponds to ESCAPE36 Abstract Submission ID: 130.
Download
Files
Download 1v2.pdf (192 kB)
Jan 31, 2026
Supplementary Information for ESCAPE36 C
License
None Specified