Energy storage and photovoltaic cooperation

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.

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.

An integrated energy collaboration model for PCS and CES is developed. This model optimizes the coordination between photovoltaic generation, energy storage, and charging operations, utilizing intelligent scheduling to maximize energy utilization.

Through continuous interaction with the environment, the agent finally obtains the optimal disordered charging and discharging behavior of energy storage systems (ESS) and electric vehicle systems (EVs), which greatly improves the utilization of solar energy resources.

In the energy cooperation-based storage sharing strategy, all participants aim to maximize the overall benefits of the alliance, building on energy trading to overcome the limitations of the previous two sharing models.

Current research on shared energy storage operational strategies focuses on three main areas: capacity allocation [14, 15], energy trading [16, 17], and storage sharing based on energy cooperation . Under the capacity allocation strategy, consumers are limited to using only the storage capacity assigned to them.