Expansion planning of the transmission network with high penetration of renewable generation: a multi-year two-stage adaptive robust optimization approach

A. García-Cerezo, L. Baringo, R. Garcia-Bertrand

Applied Energy Vol. 349, pp. 121653-1 - 121653-22

Summary:

This paper addresses the multi-year two-stage expansion planning of the transmission network of a power system with high penetration of renewable generation modeling long-term uncertainty by using adaptive robust optimization. The multi-year nature of the problem is modeled by considering a comprehensive view of the planning horizon. A cardinality-constrained uncertainty set is used to model the future worst-case uncertainty realization of the peak power consumption of loads, along with the capacity and marginal production cost of generating units. Unlike previous works, we model certain features of the operation that are typically ignored in multi-year robust transmission network expansion planning problems, namely, the operational variability of renewable generating units, the operational flexibility of conventional generating units, and the non-convex operational feasibility sets of storage facilities. The solution procedure employed for this multi-year two-stage robust problem, which is formulated as a three-level problem, is based on the combination of the nested column-and-constraint generation algorithm with two exact acceleration techniques. We analyze the performance of the proposed model through the use of the IEEE 24-bus Reliability Test System and the IEEE 118-bus Test System. Numerical results show that the use of the multi-year approach leads to reductions in the total worst-case cost of up to 7% in comparison with the static and sequential static procedures. Moreover, an underestimation of the total worst-case cost of more than 8% is attained when ignoring certain operational constraints of conventional generating units and storage facilities. Lastly, a sensitivity analysis is presented in order to illustrate the impact of the maximum deviations of the uncertain parameters on the total worst-case cost.

Spanish layman's summary:

Este artículo aborda el problema multianual de dos etapas de planificación de la expansión de la red de transporte de sistemas de energía eléctrica con alta penetración de generación renovable modelando la incertidumbre a largo plazo empleando optimización robusta ajustable.

English layman's summary:

This paper addresses the multi-year two-stage expansion planning of the transmission network of a power system with high penetration of renewable generation modeling long-term uncertainty by using adaptive robust optimization.

Keywords: Adaptive robust optimization; Multi-year approach; Operational flexibility; Renewable generation; Storage facilities; Transmission network expansion planning

JCR Impact Factor and WoS quartile: 11,200 - Q1 (2022)

DOI reference: https://doi.org/10.1016/j.apenergy.2023.121653

Published on paper: November 2023.

Published on-line: August 2023.

Citation:
A. García-Cerezo, L. Baringo, R. Garcia-Bertrand, Expansion planning of the transmission network with high penetration of renewable generation: a multi-year two-stage adaptive robust optimization approach. Applied Energy. Vol. 349, pp. 121653-1 - 121653-22, November 2023. [Online: August 2023]