Session Details

 

Model Predictive Control Applied To Different Control Levels of a Renewable Energy Microgrid with Multiple Energy Storage Systems

Tuesday, November 22, 2016 | 16:00 - 16:30

In this presentation, the exposed work, the development of optimal controllers for renewable energy microgrids with hybrid energy storage systems is explored using Model Predictive Control (MPC). The control system is introduced on different time scales resulting in an optimal control solution for the economic dispatch and power quality of the microgrid. Meanwhile, degradation issues of energy storage systems are analyzed and minimized, improving the longevity of the whole energy storage system. Both the market operation of the microgrid with multiple energy storage systems are implemented, and the algorithms for the power electronics of the microgrid are improved using an innovative model predictive control-based method.
  • Introducing dispatchability into the renewable energy system in the day-ahead, intraday, regulation services markets
  • Optimal load sharing method validated under 24-hour testing
  • Improving control algorithms for grid-tied and islanded inverters
  • Minimizing the current ripple degradation effect in energy storage systems

renewable microgrids
Dr. Félix García-Torres
Microgrid Laboratory Responsible
Spanish National Center on Hydrogen

Félix García-Torres, received the Master degree in Electrical Engineering in 2004 and his phd. Degree in 2015 by the University of Seville. He joined the Centro Nacional del Hidrogeno (Spain) in 2009, where he works currently as full researcher in the Simulation and Control Unit where he is responsible of the Microgrids Laboratory.

Before, he was working in several research centers or companies such as the Instituto de Automatica Industrial - CSIC (Spain), the University of Seville spin-off Company on power electronics, GreenPower Technologies (Spain) and the Université Catholique de l'Ouest (Angers, France).

His current research interests are advanced power electronics and control to introduce the energy storage technologies in the smart grid.