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Equipment cost distribution for the flywheel energy storage systems. FESSs are used for short-duration power applications. Therefore, power capital cost ($/kW) could be a useful parameter to compare the economic feasibility of energy storage systems for similar power applications.
However, almost no bottom-up research has been done, i.e., research that considers the technical parameters to size the components of a flywheel storage system, estimate cost parameters based on the design, and provide a probable distribution of the total investment cost and levelized cost of storage.
Electro-chemical ESSs can be used in short-duration services, , but they suffer from a short lifetime and the need to dispose of toxic materials, . Flywheel energy storage systems (FESSs) are a promising alternative to electro-chemical batteries for short-duration support to the grid .
Utility-scale energy storage systems for stationary applications typically have power ratings of 1 MW or more . The largest flywheel energy storage is in New York, USA by Beacon Power with a power rating of 20 MW and 15 min discharge duration .
The photovoltaic storage system is introduced into the ultra-dense heterogeneous network of 5G base stations composed of macro and micro base stations to form the micro network structure of 5G base stations .
Access to the 5G base station microgrid photovoltaic storage system based on the energy sharing strategy has a significant effect on improving the utilization rate of the photovoltaics and improving the local digestion of photovoltaic power. The case study presented in this paper was considered the base stations belonging to the same operator.
Therefore, 5G macro and micro base stations use intelligent photovoltaic storage systems to form a source-load-storage integrated microgrid, which is an effective solution to the energy consumption problem of 5G base stations and promotes energy transformation.
In Case 2, the total optimal energy storage planning capacity of large-scale 5G BSs in commercial, residential, and working areas is 9039.20 kWh, and the corresponding total rated power is 1807.84 kW. The total energy storage planning capacity of large-scale 5G BSs in Case 3 is 7742 kWh, which is 14.35% lower than that of Case 2.
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