User-optimized Economic Scheduling Strategy Based on Shared Energy Storage

As the demand for electricity increases, and therefore the emergence of the shared energy storage(SES) business model, the user facet uses the shared storage to scale back the user operation prices and therefore the pressure on the grid. Therefore, this paper connects the shared energy storage powerhouse to the user cluster, establishes associate optimum programing model aiming at the optimum daily expense of user groups, and analyzes the electricity consumption behavior and cost blessings of user groups once placing in the shared energy storage station. At last, we tend to certify the availability of the programming model through a sensible example. In addition, we can see from the results that establishing a shared energy storage station within the user cluster will considerably scale back the daily operation value of the user cluster and contribute to the consumption of latest energy.