Scheduling of energy storage

Abstract

The increasing reliance on renewable energy generation means that storage may well play a much greater role in the balancing of future electricity systems. We show how heterogeneous stores, differing in capacity and rate constraints, may be optimally, or nearly optimally, scheduled to assist in such balancing, with the aim of minimising the total imbalance (unserved energy) over any given period of time. It further turns out that in many cases the optimal policies are such that the optimal decision at each point in time is independent of the future evolution of the supply-demand balance in the system, so that these policies remain optimal in a stochastic environment.

20 pages, 2 figures. To appear in Philosophical Transactions of the Royal Society, Series A

Cited by in corpus (3)

• Flexibility Framework with Recovery Guarantees for Aggregated Energy Storage Devices
• On optimal coordinated dispatch for heterogeneous storage fleets with partial availability
• Scheduling and dimensioning of heterogeneous energy stores, with applications to future GB storage needs