Optimization-based analysis of decarbonization pathways and flexibility requirements in highly renewable power systems

Verastegui, Felipe; Lorca, Alvaro; Olivares, Daniel; Negrete-Pincetic, Matias

Abstract

Several countries are adopting plans to reduce the contaminant emissions from the energy sector through renewable energy integration and restrictions on fossil fuel generation. This process poses important computational and methodological challenges on expansion planning modeling due to the operational details needed for a proper analysis. In this context, this paper develops a planning model including an effective representation of the operational aspects of the system to understand the key role of flexible resources under strong decarbonization processes in highly renewable power systems. A case study is developed for the Chilean power system, which is currently undergoing an ambitious coal phaseout process, including the analysis of a scenario that leads to a completely renewable generation mix. The results show that highly renewable generation mixes are feasible, but rely on an effective balance of the key flexibility attributes of the system including ramping, storage, and transmission capacities. Further, such balance allows for faster decarbonization goals to remain in a similar cost range, through the deployment of flexible capacity in earlier stages of the planning horizon. (c) 2021 Elsevier Ltd. All rights reserved.

Más información

Título según WOS: Optimization-based analysis of decarbonization pathways and flexibility requirements in highly renewable power systems
Título de la Revista: ENERGY
Volumen: 234
Editorial: PERGAMON-ELSEVIER SCIENCE LTD
Fecha de publicación: 2021
DOI:

10.1016/j.energy.2021.121242

Notas: ISI