This paper describes a generation and transmission (G&T) expansion planning tool based on Benders decomposition and multistage stochastic optimization: (i) A MIP-based "investment module" determines a trial expansion plan; (ii) an SDDP-based "operation module" calculates the expected operation costs for the trial plan and Benders cuts to the investment module based on the expected marginal costs of the capacity constraints at the optimal solution. The integrated G&T planning approach is illustrated with a realistic planning study for the Bolivian power system.
@article{arxiv.1910.01640,
title = {Stochastic Multistage Co-optimization of Generation and Transmission Expansion Planning},
author = {Fernanda Thome and Ricardo C. Perez and Lucas Okamura and Alessandro Soares and Silvio Binato},
journal= {arXiv preprint arXiv:1910.01640},
year = {2019}
}