Máquinas eléctricas y potencia

Distributed Electric Grids. Smart grids

Máquinas eléctricas y potencia

Bullet Energy management systems

The development of techniques aimed at efficient management of electrical energy has become an essential requirement in the industrial, transport and water and health sectors. All the technologies developed for this purpose must guarantee an efficient use of energy (minimizing losses in the transportation and use of it), guaranteeing a high availability of service, a low environmental impact and maintaining high standards of quality and stability. The solutions developed by Ceit harmoniously combine the efficient integration of generation systems of renewable origin, the implementation of distributed storage devices and the optimization of all the electronic elements integrated in the new "Smart Grids".

Bullet Ad-hoc solutions

  • Development of prediction algorithms for renewable generation (solar photovoltaic and wind) and algorithms for decentralized management of "Smart Grids".

  • Stability analysis of electrical systems that integrate renewable generation and distributed storage.

  • Development of high performance power converters for the integration of generation and distributed storage systems.

  • Development of decentralized electrical distribution techniques through the integration of devices capable of distributing fault tolerant energy using solid state relays.

  • Development of storage systems with high power density based on the integration of super capacities for the efficient management of network quality.

  • Generation of low voltage triphasic power systems from medium voltage AC and / or DC networks.

  • Design and development of "Smart Transformers".

  • Design and development of energy collection systems based on "Energy Harvesting" technologies.

Bullet Knowledge and expertise

  • High-performance power electronics: high switching frequency, WBG semiconductors.

  • Medium and high frequency electromagnetic design.

  • Stability analysis of electrical networks.

  • Development of optimization algorithms using neural networks, swarm techniques, etc.