Due to the flexibility of the energy storage sharing mode, a two-part price-based leasing mechanism of shared energy storage (SES) considering market prices and battery
The increasing energy storage resources at the end-user side require an efficient market mechanism to facilitate and improve the utilization of energy storage (ES). Here, a novel ES capacity trading framework is
Request PDF | On Mar 23, 2023, Yuanhui Chen and others published Shared Energy Storage Optimization Considering Electricity Price and PV Output Uncertainty | Find, read and cite all
In response to the growing demand for sustainable and efficient energy management, this paper introduces an innovative approach aimed at enhancing grid-connected multi-microgrid
Keywords: hierarchical optimization, pricing strategy, shared energy storage, stackelberg game, trading framework. Citation: Huang S, Gao X, Chen J, Chen R, Su Z and Bao J (2022) An Optimal Hierarchical Pricing
The results show that the construction of a shared energy storage system in multi-microgrids has significantly reduced the cost and configuration capacity and rated power of individual energy storage systems in each microgrid.
The optimal shared energy storage capacity was determined to be 4065.2 kW h, and the optimal rated power for shared energy storage charging and discharging was 372 kW. Table 2. Capacity configuration results of PV and wind turbine in each microgrid
Community shared energy storage (CSES) is a solution to alleviate the uncertainty of renewable resources by aggregating excess energy during appropriate periods and discharging it when renewable generation is low. CSES involves multiple consumers or producers sharing an energy storage system.
For the individually configured energy storage systems, the total capacity is 698.25 + 1468.7613 + 2580.4475 = 4747.4588 kW h, while the optimal shared energy storage capacity configuration is 4258.5857 kW h, resulting in further reduction.
We demonstrate the advantages of using shared as opposed to private energy storage. Distributed Energy Resources have been playing an increasingly important role in smart grids. Distributed Energy Resources consist primarily of energy generation and storage systems utilized by individual households or shared among them as a community.
To use the shared energy storage system, community members can lease the capacity of the CSES. In other words, the maximum purchased power from or sold power to the shared storage is limited by the leased capacity. The leased capacity represents the share of the CSES' capacity that each consumer can use.
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