Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Lucas Borges Picarelli"'
Autor:
Guilherme Luiz Minetto Fredo, Erlon Cristian Finardi, Paulo Vitor Larroyd, Lucas Borges Picarelli
Publikováno v:
IEEE Access, Vol 9, Pp 98542-98560 (2021)
The long-term generation scheduling (LTGS) problem aims to build an operating policy over a multi-year planning horizon, correlating thermal generation and deficit costs with water storage. The LTGS is modeled as a linear multistage stochastic progra
Externí odkaz:
https://doaj.org/article/7bbe0f1b685f4d4ba751646630e8210d
Autor:
Paulo Vitor Larroyd, Renata Pedrini, Felipe Beltrán, Gabriel Teixeira, Erlon Cristian Finardi, Lucas Borges Picarelli
Publikováno v:
Energies, Vol 15, Iss 3, p 1115 (2022)
The long-term hydrothermal scheduling (LTHS) problem seeks to obtain an operational policy that optimizes water resource management. The most employed strategy to obtain such a policy is stochastic dual dynamic programming (SDDP). The primary source
Externí odkaz:
https://doaj.org/article/de5bb407b983442a848750913f190e04
Publikováno v:
Energies, Vol 15, Iss 1, p 39 (2021)
As we move towards electrical networks with a growing presence of renewable generation, the representation of the electrical components becomes more important. In hydro-dominated power systems, modelling the forbidden zones of hydro plants becomes in
Externí odkaz:
https://doaj.org/article/c3fa213340be4b0bbb49a8be6a6643b9
Autor:
Lucas Borges Picarelli, Paulo Vitor Larroyd, Guilherme Luiz Minetto Fredo, Erlon Cristian Finardi
Publikováno v:
IEEE Access, Vol 9, Pp 98542-98560 (2021)
The long-term generation scheduling (LTGS) problem aims to build an operating policy over a multi-year planning horizon, correlating thermal generation and deficit costs with water storage. The LTGS is modeled as a linear multistage stochastic progra