Virtual power plants (VPP) aim to enhance the electricity system's stability, adaptability, and efficiency while promoting the scale-up of renewable energy. It is worth noting that VPP policy is crucial to promoting the development of VPP and providing solid guarantees. However, there is a lack of quantitative evaluation of the VPP policy to understand its advantages and potential value and identify policy deficiencies when amalgamated with the VPP's future growth. This study innovatively constructs a multidimensional quantitative evaluation framework for VPP policy based on the text mining (TM) method and the Policy Modelling Consistency Index (PMC-Index) model, filling a gap in the quantitative evaluation of VPP policy and providing new perspectives for subsequent research. It was found that among the ten representative VPP policies selected, one exhibits good consistency, eight exhibit acceptable consistency, and one exhibits low consistency. VPP policies with broad content and comprehensive coverage have higher PMC-Index scores, while with limited implementation, more targeted ones have lower PMC-Index scores. The primary reasons for the concave PMC-Surface of ten policies are the low policy level (X2) and policy timeliness (X4) scores. These results suggest that VPP policies still have significant room for improvement concerning the authority of policy-issuing agencies and the development of short--, medium---, and long-term plans. Accordingly, CiteSpace is used to analyze the research hotspots and cutting-edge trends of VPP and explore the direction of future policy formulation. Based on the research findings, specific and actionable suggestions are proposed for subsequent formulation and modification of VPP policies in terms of enhanced integration and interoperability, data management and information security, innovation and improvement of market mechanisms, policy support and incentives, and training and education.
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