The operational cost of a community with various controllable loads is optimized to find the optimal storage solution. The sharing rate is proposed to quantify inter-user resource-sharing capability. The Community Energy Storage Sharing scheme outperforms other Energy Sharing paradigms profitably and efficiently.
Abstract: This paper studies an energy storage (ES) sharing model which is cooperatively invested by multiple buildings for harnessing on-site renewable utilization and grid price arbitrage. To maximize the economic benefits, we jointly consider the ES sizing, operation, and cost allocation via a coalition game formulation.
By enhancing the capability for inter-user resource sharing, shared energy storage achieves economic and technical advantages. CESS, in particular, stands out in shared energy storage use scenarios and represents an excellent choice for sustainable communities in the future. Fig. 15. The Sharing Rate of Community Energy Storage Sharing (CESS). (a.
A two-stage model describing the storage sharing among stakeholders is developed. Storage sharing contribution rate is defined to inspire stakeholders to join share. An incentive mechanism is designed based on the asymmetric Nash bargaining model. Shared energy storage system ensures the economic feasibility of all participants.
Under the storage sharing mode in which users invest in storage equipment individually and share their idle storage capacities within the community, the optimal energy storage size is determined by the genetic algorithm . However, the energy trading process is fixed, which may reduce users' cost savings.
Numerical results show that, compared with personal energy storage scenario, the proposed storage sharing mechanism can achieve 6.09% cost savings, the self-consumption rate and self-sufficiency rate of renewable energy respectively increase by 5.01% and 5.21%, and all financial evaluation indexes have improved.
This paper studies an energy storage (ES) sharing model which is cooperatively invested by multiple buildings for harnessing on-site renewable utilization and grid price arbitrage.
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