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Department of Computer Science and Technology

 

As extreme weather events, in particular heatwaves, increasingly threaten global infrastructure, a precise understanding of their impact on electricity grids is crucial for enhancing societal resilience and security. This study delves into the effects of heatwaves on the European electricity grid using a comprehensive real-world dataset. Recognizing that conventional power flow analysis often neglects temperature's effect on grid operation limits, potentially leading to incomplete assessments of grid resilience, we develop a novel temperature-dependent segment-based approach for more accurate and efficient power flow analysis that accounts for temperature impacts. We apply the method to evaluate the robustness of the European electricity grid across various heatwaves scenarios. Our results highlight significant national differences. These findings emphasize the need for temperature-aware grid analysis and planning to mitigate climate change risks and ensure energy security.