A Graphical Measure of Aggregate Flexibility for Energy-Constrained Distributed Resources

Abstract

We consider the problem of dispatching a fleet of heterogeneous energy storage units to provide grid support. Under the restriction that recharging is not possible during the time frame of interest, we develop an aggregate measure of fleet flexibility with an intuitive graphical interpretation. This analytical expression summarises the full set of demand traces that the fleet can satisfy, and can be used for immediate and straightforward determination of the feasibility of any service request. This representation therefore facilitates a wide range of capability assessments, such as flexibility comparisons between fleets or the determination of a fleet's ability to deliver ancillary services. Examples are shown of applications to fleet flexibility comparisons, signal feasibility assessment and the optimisation of ancillary service provision.

References in corpus (2)

• Robustly Maximal Utilisation of Energy-Constrained Distributed Resources
• Mean Field Control for Efficient Mixing of Energy Loads

Cited by in corpus (7)

• Learning-Based Predictive Control via Real-Time Aggregate Flexibility
• Minimising Unserved Energy Using Heterogeneous Storage Units
• Scheduling of energy storage
• Flexibility Framework with Recovery Guarantees for Aggregated Energy Storage Devices
• Chance-Constrained Ancillary Service Specification for Heterogeneous Storage Devices
• On optimal coordinated dispatch for heterogeneous storage fleets with partial availability
• Real-time Flexibility Feedback for Closed-loop Aggregator and System Operator Coordination