Our flexibility analysis tools assess how the reliability of demand response improves with scale and adaptive clustering.
The FleetFlex (fleet flexibility and predictability) tool is designed to assess the demand response characteristics of a fleet of flexible energy resources such as charging stations for electric vehicles (EVs). Evaluated characteristics include the size and certainty of the available flexibility to increase or decrease demand. The tool uses state-of-the-art load forecasting methods and historical data describing the consumption behaviour of a resource fleet. Default data is available describing EV charging events over the course of a year (incl. plug-in and plug-out times, and total consumption per charging event), and custom data can be uploaded for other use cases. Essentially, the FleetFlex tool allows SEITA to evaluate the flexibility of a specific fleet of resources on behalve of retailers and aggregators, and, using the FiRE tool, to evaluate the value of the fleet for a specific retailer. Thereby, it addresses the value of aggregation.
The FleetFlex tool was developed by the Distributed Artificial Intelligence Laboratory (DAI-Labor) in Berlin. If you are interested in finding out the value in aggregating flexible resources like electric vehicles, please contact us.