Our aim
- to enable and promote the integration of K-INF algorithm as a real-time PMS solution into use cases of renewable-based microgrids with storage, including hybrid
- to extend K-INF application on electric vehicle on-board power management and reliability-aware control of classical power generation systems
Our offer K-INF
- proof of concept at TRL4 (hardware-in-the loop simulations with real batteries)
- know-how and ready-to-use design tool (MIMO H-infinity controller for microgrid power management)
- the controller ensures seamless dynamic performance due to advanced control design:
guaranteed respect of grid codes for more than 50% load variation
- is easily embeddable on a cheap, general-purpose micro-controller
- uses minimal number of sensors and induces minimal control efforts
- ensures lifetime prolongation of storage systems when hybridized
- current estimation of batteries life-time extension is more than 50% when hybridized by supercapacitors
Our action
- active research of (industrial and research) partners and consortia ensuring K-INF TRL advancement, allowing test of K-INF controller performance in real-life relevant/operational environment