This paper describes an area decomposition and a robust optimization strategy for the planning of large-scale transmission networks considering uncertainty in variable renewable energy (VRE) and hydropower generation. The strategy is illustrated with a study of Brazil's power grid expansion from 2027 to 2036. The country's network has over 10 thousand buses and 14 thousand circuits and covers an area equivalent to the USA. A clustering scheme based on bus marginal costs is used to decompose the grid into seven regions. Each regional planning is then solved by a heuristic and Benders decomposition methods to produce a robust least-cost plan for 3,000 dispatch scenarios.
@article{arxiv.2004.01048,
title = {A robust optimization and an area decomposition approach to large-scale network planning under uncertainty},
author = {Maynara A. Aredes and Tiago Andrade and Gerson C. Oliveira and Maria L. Latorre and Daniela Bayma and Silvio Binato},
journal= {arXiv preprint arXiv:2004.01048},
year = {2020}
}