Energy trading strategy of community shared energy storage
This work presents an optimal strategy for CSES operators and community members to determine their optimal energy trading strategy based on social welfare maximization.
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.
Coupling solar energy and storage technologies is one such case. The reason: Solar energy is not always produced at the time energy is needed most. Peak power usage often occurs on summer afternoons and evenings, when solar energy generation is falling.
Accordingly, the integration of renewable energy sources into power systems requires careful planning and management to ensure a reliable and secure energy supply and prevents instability in the grid. Community shared energy storage (CSES) can play a crucial role in relieving the uncertainty of renewable energy resources .
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.
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