Scheduling of energy storage

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 capacity and rate constraints, be optimally, or nearly scheduled to assist such balancing, with aim minimising total imbalance (unserved energy) over any given period time. It further turns out many cases optimal policies are decision at each point time is independent evolution supply-demand balance system, so these remain stochastic environment.