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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.
Additionally, a cooperative alliance model between Community Energy Storage and Photovoltaic Charging Station is established, leveraging Nash bargaining theory to decompose the game into cost minimization and benefit distribution sub-problems and used the ADMM algorithm for distributed solving.
To address the growing load management challenges posed by the widespread adoption of electric vehicles, this paper proposes a novel energy collaboration framework integrating Community Energy Storage and Photovoltaic Charging Station clusters. The framework aims to balance grid loads, improve energy utilization, and enhance power system stability.
The surplus/shortage energy of community members can be sold to/purchased by the community storage or injected to/absorbed from the local grid. To use the shared energy storage system, community members can lease the capacity of the CSES.
Energy storage capacity is measured in megawatt-hours (MWh) or kilowatt-hours (kWh). Duration: The length of time that a battery can be discharged at its power rating until the battery must be recharged. The three quantities are related as follows: Duration = Energy Storage Capacity / Power Rating
Battery storage power stations are usually composed of batteries, power conversion systems (inverters), control systems and monitoring equipment. There are a variety of battery types used, including lithium-ion, lead-acid, flow cell batteries, and others, depending on factors such as energy density, cycle life, and cost.
The battery compartment is a crucial component for energy storage in power stations, and its capacity expansion is primarily achieved through the series/parallel connection of individual batteries.
On this basis, the battery compartment model of the energy storage station is analyzed and verified by utilizing the circuit series–parallel connection characteristics. Subsequently, the electro-thermal coupling model of the energy storage station is established.
