Distributed wind storage power station cluster day-ahead output optimization method, scheduling method and terminal

The invention discloses a distributed wind storage power station cluster day-ahead output optimization method, a scheduling method and a terminal, and the optimization method comprises the steps: an aggregation layer uses the retail electricity price formulated by the aggregation layer for each time period of each wind storage power station, the total electricity selling power of the aggregation layer, and the charging and discharging power of an energy storage system owned by the aggregation layer as decision variables; establishing a first optimization model by taking the minimum operation cost as a target; each wind storage power station in the wind storage power station layer establishes a second optimization model by taking the electricity selling power of the wind storage power station, the generating power of a wind turbine generator, the discharging power of energy storage and the charging power as decision variables and taking the maximum generating income as a target; and forming a master-slave game