Enhancing the renewable energy utilization and facilitating the low-carbon,economic operation of power systems are critical development goals.Integrating Virtual Power Plant (VPP) with shared energy storage plants presents a viable solution to realize energy complementarity among different VPPs.This paper first establishes a multi-VPP framework integrated with shared energy storage and develops models for the associated equipment across cooling,heating,and electricity dimensions.Secondly,a two-layer optimal scheduling strategy for multi-VPPs is proposed,which incorporates shared energy storage and a dynamic carbon emission pricing mechanism.Considering the interaction and the comprehensive unit output between VPP and shared storage power plant,the upper layer model aims to minimize the operating cost of the multi-VPP system,determining the system's carbon emission allocation and generating a carbon price signal for the lower layer.The lower layer model is designed to maximize the revenue of the shared energy storage plant,guiding its operational decisions to serve the multi-VPPs based on the upper layer's price signal.Then,using the minimum difference between the upper layer cost and the lower layer revenue as the convergence criterion,the final scheduling strategy is computed via a vertical and horizontal crossover algorithm.Case study simulations show that the proposed dynamic carbon pricing strategy can reduce the system's overall carbon emissions while increasing the charging and discharging revenue of the shared energy storage plant.