Resumen:
This paper proposes a two-stage robust optimization model for the transmission network expansion planning problem. Long-term uncertainties in the peak demand and generation capacity are modeled using confidence bounds, while the short-term variability of demand and renewable production is modeled using a set of representative days. As a distinctive feature, this work takes into account the non-convex operation of conventional generating units and storage facilities, which results in a two-stage robust optimization model with a discrete recourse problem. The resulting problem is solved using a nested column-and-constraint generation algorithm that guarantees convergence to the global optimum in a finite number of iterations. An illustrative example and a case study are used to show the performance of the proposed approach. Numerical results show that neglecting the non-convex operation of conventional generating units and storage facilities leads to suboptimal expansion decisions.
Palabras Clave: Two-stage robust optimization; Transmission network expansion planning; Commitment status; Storage units; Uncertainty; Nested column-and-constraint generation algorithm
Índice de impacto JCR y cuartil WoS: 9,252 - Q1 (2021); 13,600 - Q1 (2023)
Referencia DOI:
https://doi.org/10.1016/j.eneco.2021.105246
Publicado en papel: Junio 2021.
Publicado on-line: Marzo 2021.
Cita:
A. García-Cerezo, L. Baringo, R. Garcia-Bertrand, Robust transmission network expansion planning considering non-convex operational constraints. Energy Economics. Vol. 98, pp. 105246-1 - 105246-14, Junio 2021. [Online: Marzo 2021]
