Generation and Transmission Expansion Planning Using a Nested Decomposition Algorithm

Autor: Carlos Vergara, Esteban Gil, Victor Hinojosa

Publikováno v: Energies, Vol 17, Iss 7, p 1509 (2024)

This work presents an implementation of a Nested Decomposition Algorithm (NDA) applied to co-optimizing generation and transmission capacity expansion planning problems in power systems, including operational flexibility constraints. The proposed met

Externí odkaz: https://doaj.org/article/0d378d5f00ca4517830b9a12afc79133

GPU Parallelization Nested Decomposition Method for Solving Large Linear Systems in Reservoir Numerical Simulation

Autor: Xin Shi, Yuan Di

Publikováno v: Earth Sciences Research Journal, Vol 23, Iss 3, Pp 249-257 (2019)

This paper designs a highly parallel Nested Factorization (NF) to solve large linear equations generated in reservoir numerical simulation problems. The NF method is a traditional linear solution preprocessing method for reservoir numerical simulatio

Externí odkaz: https://doaj.org/article/20b798d66a5e44369b51a5c0ed3905ea

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On the time-consistent stochastic dominance risk averse measure for tactical supply chain planning under uncertainty

Autor: Dolores Romero Morales, Juan F. Monge, Laureano F. Escudero

Publikováno v: REDIUMH: Depósito Digital de la UMH
Universidad Miguel Hernández de Elche
REDIUMH. Depósito Digital de la UMH
Universitat Pompeu Fabra
instname

In this work a modeling framework and a solution approach have been presented for a multi-period stochastic mixed 0–1 problem arising in tactical supply chain planning (TSCP). A multistage scenario tree based scheme is used to represent the paramet

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6373258b09f90431afd599b05974d821
http://hdl.handle.net/11000/6432