Rising peak loads lead to high grid expansion costs and pose a challenge to grid stability.
With our cloud-based smart grid, you can reduce load peaks in a targeted manner and thus lower grid construction costs. By modeling the entire grid topology – from supply lines and charging points to charging clusters and charging farms – power consumption can be efficiently controlled and integrated into smart grid scenarios. The result: a stable, cost-efficient charging infrastructure and satisfied users.
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Detection and optimization of single-phase charging processes
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Configurable control interval and significance
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Dynamic specification of maximum currents through actual value detection or evaluation of external signals (e.g. smart meters or energy management systems)
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Quality indicators document the utilization of the infrastructure and provide information on service quality.
Our smart charging uses state-of-the-art cloud technology to ensure maximum flexibility and scalability.
Thanks to the integration of OCPP standards, we enable smart and interoperable control of your charging points.
Charging stations, smart meters and supply lines are mapped hierarchically and the associated power flows, energy and reactive power are visualized. Single or multi-level control is then possible.
By avoiding peak loads, our system optimizes capacity utilization and reduces operating costs. A higher-level energy management system (EMS) specifies dynamic maximum values that are implemented intelligently.
Our solution automatically adjusts the charging process to the current power consumption and battery level. This ensures that the available energy is used efficiently.
Protects your power infrastructure from overload, saves grid connection costs and ensures smooth operation even at high loads.
Grid & Co. is your partner for a secure and efficient IT infrastructure in electromobility. Let’s talk about your personal solution together!
For more than ten years, we have been developing Gridware, a solution for monitoring, billing and managing charging infrastructure.
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