System model The energy storage sharing framework is schematically shown in Fig. 1, which consists of a cluster N = { 1, 2, …, n, …, N } of prosumers and a community ESS. Prosumers equipped with PV generations and electric vehicles (EVs) are connected to the main grid and the community ESS .
(1) A new energy storage sharing framework is proposed to provide strategies for both storage capacity allocation and power capacity allocation. Compared with , the introduction of a new allocation method of power capacity provides a more feasible way for energy storage sharing considering the limited power capacity.
Finally, we discuss some promising directions for the future study on shared ES. Energy storage (ES) plays a significant role in modern smart grids and energy systems. To facilitate and improve the utilization of ES, appropriate system design and operational strategies should be adopted.
proves through comparative experiments that in a community, using shared energy storage can save 2.53% to 13.82% in terms of electricity costs and increase the energy storage utilization by 3.71% to 38.98% compared to the case when using personal energy storage.
The ESS can store energy when the PV generation exceeds the demand, and release the stored energy when the demand exceeds the PV generation, so as to achieve the effect of rapid response . The existing energy storage applications frameworks include personal energy storage and shared energy storage.
Prosumers equipped with PV generations and electric vehicles (EVs) are connected to the main grid and the community ESS . Prosumers compete for the energy storage capacity and power capacity of the community ESS. H = { 1, 2, …, h, …, H } denotes the scheduling period. Fig. 1. The framework of energy storage sharing. 2.1. Price function
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Journal of Energy Storage
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