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Multi-day resilience challenges in highly renewable power systems aretriggered by complex interactions between high load, low renewableavailability, electricity transmission and storage dynamics. We show thesechallenges cannot be rigorously understood from an exclusively power systems,or meteorological, perspective and propose a new method, using electricityshadow prices to identify difficult periods driving system investments. Theseperiods are triggered by wind droughts combined with high load periods ofvarious lengths, which can be detected from weather-dependent inputs. However,purely meteorological approaches fail to identify which events lead to thelargest system stress driven by transmission bottlenecks and storage issues.These events do not relate strongly to traditional weather patterns (e.g.weather regimes or the North Atlantic Oscillation). We compile new weatherpatterns including the impacts of storage and interconnection. Withoutinterdisciplinary studies combining state-of-the-art energy meteorology andmodelling, further strive for adequate renewable power systems will behampered.

A new method for identifying weather-induced power system stress using shadow prices