Robustness of electricity systems with nearly 100% share of renewables: a worst-case study
Francisco Gutierrez-Garcia, Angel Arcos-Vargas, Antonio Gomez-Exposito

TL;DR
This paper presents a methodology to design a robust, sustainable electricity system resilient to extreme weather, ensuring reliable supply and lower costs, demonstrated through a case study of the Spanish system.
Contribution
It introduces a worst-case scenario methodology for assessing and designing resilient renewable-based electricity systems considering extreme weather impacts.
Findings
A decarbonized system can reliably meet demand under extreme conditions.
The proposed design achieves lower costs than current market prices.
Sensitivity analysis highlights key parameters influencing system cost and robustness.
Abstract
Several research studies have shown that future sustainable electricity systems, mostly based on renewable generation and storage, are feasible with current technologies and costs. However, recent episodes of extreme weather conditions, probably associated with climate change, cast shades of doubt on whether the resulting generation portfolios are sufficiently robust to assure, at all times, a suitable balance between generation and demand, when adverse conditions are faced. To address this issue, this work elaborates a methodology intended to determine a sustainable electricity system that can endure extreme weather conditions, which are likely to occur. First, using hourly production and demand data from the last decade, along with estimates of new uses of electricity, a worst-case scenario is constructed, including the storage capacity and additional photovoltaic power which are…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
