Andrew Rosemberg
Degree in Control Engineering at Pontifical Catholic University of Rio de Janeiro (PUC-RIO), Brazil.
Double Degree General Engineering at École centrale de Marseille, France.
Currently enrolled in the Operations Research Masters at PUC-RIO (Electrical Department).
Researcher at Laboratory of Applied Mathematical Programming and Statistics (LAMPS), Brazil.
Session
HydroPowerModels.jl is a Julia/JuMP package for Hydrothermal Multistage Steady-State Power Network Optimization solved by Stochastic Dual Dynamic Programming (SDDP).
The objective of this work is to build an open source tool for hydro-thermal dispatch that is flexible enough for the electrical sector to test new ideas in an agile and high-level way, but at the same time using the state-of-the-art implementations of both the SDDP and the dispatch model formulations. For this, we will take advantage of the julia language and the packages, also open-source, which implement the power flow of the electrical dispatch and the Stochastic Dual Dynamic Programming (SDDP), called respectively PowerModels.jl and SDDP.jl.