A robust optimization and an area decomposition approach to large-scale network planning under uncertainty

Maynara A. Aredes; Tiago Andrade; Gerson C. Oliveira; Maria L. Latorre; Daniela Bayma; Silvio Binato

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arXiv · 2004.01048

A robust optimization and an area decomposition approach to large-scale network planning under uncertainty

Maynara A. Aredes·Tiago Andrade·Gerson C. Oliveira·Maria L. Latorre·Daniela Bayma·Silvio Binato

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Abstract

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.

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Maynara A. Aredes, Tiago Andrade, Gerson C. Oliveira, Maria L. Latorre, Daniela Bayma, Silvio Binato. 2020-04-02. A robust optimization and an area decomposition approach to large-scale network planning under uncertainty. https://arxiv.org/abs/2004.01048

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