Robust transmission network expansion planning considering non-convex operational constraints

Álvaro García-Cerezo, Luis Baringo and Raquel García-Bertrand

Energy Economics, 2021, vol. 98, issue C

Abstract: 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.

Keywords: Two-stage robust optimization; Transmission network expansion planning; Commitment status; Storage units; Uncertainty; Nested column-and-constraint generation algorithm (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:98:y:2021:i:c:s0140988321001511

DOI: 10.1016/j.eneco.2021.105246

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