Research on potential user identification and optimal planning of the multiple time scale cloud‐based location sharing energy storage

Cloud energy storage is considered a promising application in future power systems. It focuses on optimally leveraging the capacity of centralized large-scale compared with requirements small-scale localized users. In this paper, to satisfy small- and medium-scale timely requirement from users, concept cloud-based location sharing proposed. The modular mobile system flexibly configured deployed at different sites fulfil long-term seasonally dynamic transformer increment short-term daily arbitrage based economic values. To optimize overall incomes investment, two-step user potential identification algorithm proposed discover most valuable users time scales regional usage profile. Then, number/capacity optimal planning share among total profits are further increased through less seasons. Finally, structure dispatching strategy management illustrated. Case study results prove that can excavate operation able guarantee income benefits.