Abstract: Against the backdrop of energy structure transformation and electricity market reform, virtual power plants have become a key force in improving energy utilization efficiency by integrating distributed energy resources. This article proposes a dual layer optimization based virtual power plant and shared energy storage coupling operation strategy. The upper-level model focuses on maximizing the revenue of shared energy storage operators, taking into account factors such as electricity market price fluctuations, energy storage equipment lifespan losses, and rental income of shared energy storage at different times, to obtain the optimal energy storage configuration plan. The lower-level model adopts multi-objective optimization strategies to minimize total operating costs, maximize new energy consumption, and achieve the lowest carbon emissions. Efficient allocation of resources is achieved through dual layer optimized collaborative operation. Through case analysis and simulation verification, this strategy significantly improves the operational efficiency of virtual power plants, effectively reduces energy storage investment costs, and enhances the stability and reliability of power system operation.