Dynamic load management (DLM) is an approach to managing the electrical load on the grid in real-time by adjusting the available power to charging stations based on the demand from the charging infrastructure, the electrical grid, and the surrounding building's power usage. It is a more flexible and efficient solution compared to static load management, which relies on pre-set parameters.
DLM can be applied to various charging infrastructures, including public and private charging stations for electric vehicles, and can be integrated with other technologies, such as photovoltaic (PV) systems and energy storage devices, to further optimize the system's performance.
The main advantage of DLM is that it allows the charging infrastructure to adapt to the changing conditions of the grid in real-time, ensuring that the available power is used efficiently and preventing local grid overloads. This makes it possible to charge electric vehicles simultaneously in a fast and efficient manner without requiring costly grid extensions.
Connecting the charging infrastructure electrical cabinet of the building results in extremely low charging currents when managed statically. Dynamic load management considers the grid current (GC) supply and the real-time building consumption (BC) of the house to offer the remaining current to the charging infrastructure.
Typical application areas include:
Up to 50% reduction of the average charging time compared to Static Load Management for the same application
The dynamic integration of a photovoltaic system into the charging infrastructure provides not only the possibility to increase the charging currents but also reduce energy costs an CO2 emission. By measuring the real-time production of the solar panels, the energy can be directly utilized to charge the electric vehicles. It is also possible to combine the photovoltaic and building integration to one load management system
Typical application areas include:
Further reduction of the charging times compared static load management, reduction of energy costs by prioritizing solar power and a lower CO2 footprint