Mejora en la Flexibilidad de Control de Convertidores Modulares Multinivel utilizando Control Predictivo de Conjunto Continuo

The research project focuses on enhancing the efficiency and performance of Modular Multilevel Cascade
Converters (MMCCs), crucial in high-power conversion systems. By implementing Continuous Set Model
Predictive Control (CCS-MPC) algorithms across MMCCs topologies, the aim is to address unresolved
challenges in controlling these systems. The proposed algorithms aim to optimize dynamic response, increase
efficiency in current and voltage utilization, and minimize circulating currents and common-mode voltage. The
scope of the project spans applications ranging from wind generator control to low-frequency alternating
current transmission. The project will also include algorithm validation through simulation. This initiative
represents a significant stride toward more efficient design and precise control of MMCCs, surpassing current
limitations in this technology.

Desarrollar nuevas estrategia de CCS-MPC que permita la operación del Convertidores Modulares Multinivel en aplicaciones de
generación y transmisión de energía a baja frecuencia, incluyendo una limitación óptima de corrientes y voltajes de clúster

1. Energía (ODS 7)
2. Industria (ODS 9)