RESISTO Project: Safeguarding the Power Grid from Meteorological Phenomena
Jacob Rodr\'iguez-Rivero, David L\'opez-Garc\'ia, Ferm\'in Segovia,, Javier Ram\'irez, Juan Manuel G\'orriz, Ra\'ul Serrano, David P\'erez, Iv\'an, Maza, An\'ibal Ollero, Pol Paradell Sol\`a, Albert Gili Selga, Jos\'e Luis, Dom\'inguez-Garc\'ia, A. Romero, A. Berro

TL;DR
The RESISTO project develops innovative AI, IoT, and aerial robot solutions to improve power grid resilience against extreme weather, focusing on prediction, detection, and mitigation strategies.
Contribution
It introduces a comprehensive framework combining advanced technologies for climate risk detection and network resilience enhancement in power grids.
Findings
Development of a climate risk detection platform
Implementation of IoT-based monitoring and anomaly detection
Deployment of intelligent aerial robots for network assessment
Abstract
The RESISTO project, a pioneer innovation initiative in Europe, endeavors to enhance the resilience of electrical networks against extreme weather events and associated risks. Emphasizing intelligence and flexibility within distribution networks, RESISTO aims to address climatic and physical incidents comprehensively, fostering resilience across planning, response, recovery, and adaptation phases. Leveraging advanced technologies including AI, IoT sensors, and aerial robots, RESISTO integrates prediction, detection, and mitigation strategies to optimize network operation. This article summarizes the main technical aspects of the proposed solutions to meet the aforementioned objectives, including the development of a climate risk detection platform, an IoT-based monitoring and anomaly detection network, and a fleet of intelligent aerial robots. Each contributing to the project's…
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Taxonomy
TopicsLightning and Electromagnetic Phenomena · Islanding Detection in Power Systems · Smart Grid Security and Resilience
