Cooperative optimization of shared energy storage in integrated
This study proposes a comprehensive optimization strategy for multi-agent integrated energy systems incorporating community shared energy storage (CES), aiming to
The cooperative operation of the individual IESs and shared energy storage is responsible for meeting the energy demands of the region. The shared energy storage operator predetermines an energy trading price mechanism and generates profits by hourly interacting with each IES.
In addition, the shared energy storage measures are adopted in Case 1 and Case 3. The energy trading based on energy price spread is the revenue model for shared energy storage operator. The energy interaction between different regions could also reduce the operation cost of each prosumer.
The operational intricacies of shared energy storage systems have garnered substantial scholarly interest within the domain of energy storage sharing . Researchers typically approach the management of these systems by formulating it as an optimization problem, which is generally categorized as either single-level or bi-level in nature [11, 12].
By integrating shared storage into these projects, system operators can better manage their energy resources, improve grid stability, and support the transition to renewable energy sources. This model fosters participants cooperation and investment, leading to more sustainable and resilient energy systems. 6. Conclusions
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