Model-based control for hybrid and uncertain smart energy systems

Energy systems influence many aspects of society, from the residential sector to the commercial one. Improving the performance and efficiency of energy systems and guaranteeing their stability is a fundamental task of control engineers. In this regard, this thesis presents modeling and control solutions for energy systems, with a focus on both...

Model Predictive Control of fuel-cell-Car-based smart energy systems in the presence of uncertainty

In this thesis, we design control algorithms for power scheduling of a fleet of fuel cell cars in a microgrid. Fuel cell cars are a relatively new type of vehicles. The driving force of these cars comes from an electrical motor and in order to generate the required electricity for the operation of the motor, the vehicle is equipped with a fuel...