This paper proposes a user credit management system based on knowledge graph for virtual power plants (VPP), which allows the VPP operators to set up a VPP user credit evaluation model with many useful functionalities, such as analyzing and evaluating user credit, realizing secure data transmission and multi-dimensional, accuracy, and real-time evaluation. Furthermore, it selects the optimal set of users to participate in the system and manages the user credit blacklist. Our analysis shows that it is both flexible and reliable.