In response to the new type of power system that has gradually developed into a complex large system with a multi-level structure and multi-time scales, it is difficult to accurately measure its safety and stability level using a single indicator. Therefore, starting from the actual needs of the power grid, a safety and stability operation status evaluation method for new energy power systems containing new energy based on subjective and objective evaluation is proposed by constructing a multi-parameter indicator system and evaluation model. The Apriori algorithm is used for association analysis and data mining of safety and stability indicators of new energy power systems, obtaining feature indicators closely related to the system’s operation status, and establishing a multi-parameter indicator system for the system’s operation status. On this basis, the subjective and objective method is combined to calculate the subjective and objective weight values of the indicator system, then the cooperative game method for solving the combined weight of the evaluation indicators is proposed, and finally, the safety and stability operation status of the new energy power system is evaluated through the cloud model theory. The results show that the proposed indicator system and evaluation method can accurately evaluate the safety and stability operation status of new energy power systems, providing theoretical support for the construction of visual evaluation software.