At our center we are dedicated to the development of technologies to achieve flexibility in electricity distribution networks. Our goal is to promote the transition to a more efficient, sustainable and adaptable electricity system to meet new energy demands.
Our research focuses on the development of advanced control algorithms for the optimal planning of hybrid energy networks (coupling sector), distributed and with storage. These algorithms allow us to optimize the operation and use of energy resources, integrating renewable energy sources, storage systems and distribution networks.
In addition, we research and develop algorithms for the prediction and control of flexible demand, demand response and participation in energy markets. This allows us to efficiently manage the flexibility of electrical load sets and industrial processes, providing users with the opportunity to provide ancillary services and participate in future flexibility markets.
Another important aspect of our research in algorithms for observability and reconfiguration of the power grid. We develop algorithms and tools that allow us to intelligently monitor and control the grid, ensuring its optimal operation and guaranteeing the quality and reliability of the power supply.
We also focus on the management of energy communities, seeking to optimize their operation and encourage the active participation of users in the generation and consumption of renewable energy. This involves developing advanced tools and strategies that enable efficient, equitable and sustainable management of energy resources at the community level.
Finally, we apply advanced artificial intelligence (AI), machine learning (ML) and deep learning (DL) technologies in the management, operation and maintenance of buildings. We use decision support systems based on these technologies, which allow us to improve energy efficiency, comfort and sustainability in buildings.