Data-driven Approaches for enhancing resilience of Multi-Energy systems (DAME)

Resulting from the climate change and globalization, future energy systems will face more extreme contingencies, such as snowstorm and pandemics. Furthermore, a massive penetration of power electronics will increase likelihood of low probability events provoking large consequences. A need for optimal integration of sustainable energy sources will make different energy systems even stronger coupled. The extreme contingencies will cause significant impact on the resilience of MESs, leading to security and reliability problems, or even catastrophic blackouts, posing massive social impact. DAME project will develop a novel data-driven approach for assessment and improvement of the MES resilience.