Distributed energy storage aggregator optimization scheduling method based on multi-objective particle swarm optimization

The invention discloses a distributed energy storage aggregator optimization scheduling method based on a multi-target particle swarm algorithm. The method comprises the following steps: analyzing the application status and the operation mode status of distributed energy storage and the research status of aggregators; establishing a distributed energy storage schedulable potential model according to the characteristic parameters and the charging and discharging characteristics of the energy storage battery in combination with the power utilization habits of distributed energy storage users; calculating the operation cost and economic benefits of the distributed energy storage aggregator, and establishing an economic model of the distributed energy storage aggregator; the charging and discharging behavior adjustment of the distributed energy storage users is used as a quantitative basis, and a distributed energy storage user satisfaction model is established; and in combination with the distributed energy stor