Benders decomposition for capacity expansion planning with network constraints and uncertain demand: the Spanish case

F.A. Campos, J. Villar, C.A. Díaz

X Congreso de la Asociación Española para la Economía Energética, Tenerife (España). 05-06 febrero 2015

Resumen:
This paper presents a stochastic model for generation expansion planning in a power system with network constraints and uncertain demand. A DC representation of the network is assumed. To make the problem computationally feasible when applied to the Spanish power system, a bi-level Benders decomposition has been developed. The main results of this application prove the robustness and the efficiency of the planning in comparison with other deterministic solutions. Outputs are the capacity to install of each technology (including renewable assets) in each year and in each Spanish Autonomous Community. The convergence of the Benders algorithm has also been tested.

Palabras clave: Generation expansion planning, Benders decomposition, stochastic optimization, network constraints, RES integration.

Fecha de publicación: febrero 2015.

Cita:
Campos, F.A., Villar, J., Díaz, C.A., Benders decomposition for capacity expansion planning with network constraints and uncertain demand: the Spanish case, X Congreso de la Asociación Española para la Economía Energética, Tenerife (España). 05-06 febrero 2015.

IIT-15-008A