In the context of sustainable development a particular attention is given to energy storage technologies, the storage devices’ reliability is heavily dependent on their technology and on their actual usage. Their replacement induces important economical and ecological issues. Hybridization solutions, which mix various technologies, allow improving storage devices life span. K-INF, associated to this hybridization of power sources allows effectively supplying the load, while ensuring operation of each source in its specialization domain.
K-INF is an energy management system which ensures the reliability-aware optimal consensus of various storage devices. It is based on a control algorithm embedded in a microcontroller; its design uses H∞ frequency synthesis approaches, which ensure the optimal usage of capabilities of each storage device. This can be further extended to other power sources, for example, wind turbines.
K-INF preserves the reliability of storage devices, reduces energy waste, avoids power sources oversizing thereby reducing the CAPEX, guarantees the imposed performances irrespective of load variations, requires a small number of sensors and has low computational complexity.
A prototype tested on a hardware-in-the-loop setup for an application targeting an electrical vehicle having three power sources – fuel cell, electrochemical battery and an ultracapacitor – is available. An implementation on a use case targeting microgrid ancillary services (frequency and voltage regulation, active power injection, etc) is on progress.
K-INF will constitute the basis for a range of effective EMSs: the MSMSs (Multi-source Management Systems) for microgrids (islands, geographical regions, electrical vehicles, ships, etc), either connected on the main grid or autonomous.