Presentation
The main objective of POWDEV is to assess and optimize the resilience of power systems in the context of a massive integration of renewable energy sources, considering extreme events under current and future climates, as well as the complexity of grids and socio-economic scenarios. Climate change scenarios must be taken into account in the resilience analysis because extreme events (droughts, storms, thunderstorms) can have severe impacts. Cascading failures need to be analyzed with appropriate integration of renewable energy sources and climate change. The societal and economic value chain must also be considered. Resilience will be optimized through appropriate decisions regarding the operation and design of the power system.
Research
The project evaluates the impacts of extreme events, such as droughts, storms, and thunderstorms, on electrical networks and power systems, with projections under current and future climate conditions. The analysis and characterization of grid resilience are conducted using complex systems theory to identify vulnerabilities and assess system robustness. Relevant metrics and objective functions are determined to evaluate grid vulnerability, with methods developed to calculate and utilize these metrics effectively.
Scenarios and Optimization
The project explores economic and societal scenarios to assess the integration of renewable energy sources (RES) within a changing climate. Specific attention is given to understanding scenarios that lead to power outages and identifying how the massive integration of RES can influence and mitigate cascading failures. Proactive and robust optimization strategies are developed to enhance system resilience, focusing on key design and operational levers to strengthen grid adaptability and minimize vulnerability to extreme events.
Consortium and Outcomes
The project is carried out by a consortium of three higher education and research institutions and two research organizations. It aims to produce a methodological framework for simulating, characterizing, and analyzing blackout scenarios in electrical grids. A flexible, multi-scale diagnostic and decision-support tool will be developed to assist stakeholders. The resulting tools and insights will enable policymakers and energy sector actors to make informed decisions for a more sustainable, resilient, and adaptive power system.