info:eu-repo/semantics/article
Stochastic daily hydrothermal scheduling based on decomposition and parallelization
Fecha
2020-06Registro en:
López Salgado, Carlos Josue; Helseth, Arild ; Ojeda Esteybar, Diego Mauricio; Año, Osvaldo; Stochastic daily hydrothermal scheduling based on decomposition and parallelization; Elsevier; International Journal of Electrical Power & Energy Systems; 118; 6-2020; 1-11
0142-0615
CONICET Digital
CONICET
Autor
López Salgado, Carlos Josue
Helseth, Arild
Ojeda Esteybar, Diego Mauricio
Año, Osvaldo
Resumen
This paper studies the stochastic short term hydrothermal scheduling of systems that have a significant contribution from controllable reservoirs, focusing on the reservoirs´ operation policy when non-linearity and deployment of supplementary reserves at the real operation stage are modeled. Wind power and forced outages of power plants and transmission lines are treated as stochastic variables, and the total reserve is an endogenous variable to the model. The problem includes cascaded hydro systems with head-sensitive plants, a DC power flow representation with nonlinear transmission losses, and four types of operating reserves; and it aims at pre-positioning generation and reserves schedules in the light of the expected deployment of operating reserves throughout the day. To solve the optimization problem, a hybrid scheme elaborated from outer approximation and Benders decomposition is applied. The proposed solution method is tested in a real size system, where its effectiveness, in terms of computational peed and accuracy, is demonstrated.