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

Autor:	Aredes, Maynara A., Andrade, Tiago, Oliveira, Gerson C., Latorre, Maria L., Bayma, Daniela, Binato, Silvio
Rok vydání:	2020
Předmět:	Mathematics - Optimization and Control
Druh dokumentu:	Working Paper
Popis:	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. Comment: 12 pages, 7 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2004.01048 Zobrazit plný text záznamu View this record from Arxiv