A Real-Time Redispatch Method to Evaluate the Contribution of Storage to Capacity Adequacy

This paper proposes a novel real-time redispatch method for energy storage systems (ESSs) in resource adequacy studies. In case of real-time contingencies, a realistic operating profile is generated for ESSs to enhance system reliability by mitigating loss of load events, while maintaining their market schedule to the extent possible. Contrary to the standard approaches in the literature, the proposed method neither adopts a perfect foresight for future events, such as generator failures, nor does it resort to “greedy” adequacy-oriented management strategies which are detached from normal operation. Instead, storages follow a market-driven schedule, being suitably redispatched during real-time operation when necessary for adequacy reasons, subject to their energy and power capacity constraints. The redispatch method is deterministically formulated through a sequence of logical conditions and is integrated into a stochastic adequacy assessment model built upon Monte Carlo technique. Multiple battery energy storage configurations have been examined, with the Greek power system serving as a realistic case study, to evaluate the method against others available in the literature and calculate the capacity value of battery ESS.