Electrochemical energy storage, with its superior regulation capability, reliable power supply, and rapid response, serves as a premium flexible resource in virtual power plants. However, numerous distributed energy storage systems currently face challenges in meeting policy subsidy thresholds due to inadequate installed capacity, power specifications, and operational models, resulting in rigid business models confined to single functions like peak shaving, valley filling, or backup power supply. This limitation hinders profit maximization. This paper proposes an evaluation methodology for distributed energy storage participating in virtual power plant electricity quantity and price operation strategies. First, an energy storage cost-benefit model is established to analyze the economic structure. Then, the TOPSIS method is used to construct a comprehensive evaluation and decision-making model for quantity-price clearing, aiding operational decisions. Subsequently, the virtual power plant’s revenue is utilized to assess energy storage units and incentivize their participation. Case studies demonstrate that integrating energy storage into virtual power plant operations significantly enhances profits compared to independent operation, and the accuracy of declared electricity prices is closely correlated with revenue gains. This not only effectively boosts the enthusiasm for energy storage investment but also provides references for optimizing virtual power plant operations.