Research and application of data encryption transmission method for power cloud-edge collaborative control system

With the large-scale access of distributed new energy power generation systems such as photovoltaic and wind power, the power system is experiencing a significant increase in data volume and control complexity. Its data processing and control are increasingly dependent on the powerful computing power of the cloud and the real-time response capability of the edge. However, ensuring secure and real-time transmission of data remains a dual challenge for cloud-edge collaboration. To address these challenges, this paper proposes a data encryption transmission method for real-time control systems in distributed power generation based on a cloud-edge collaborative architecture. Firstly, we construct a mathematical model to evaluate the real-time performance of such systems. Then, leveraging fuzzy control theory along with Bcrypt and BshAES encryption algorithms, we design a dynamic adaptive adjustment mechanism that maximizes system security while maintaining real-time response capability. This method overcomes limitations associated with traditional methods that involve high costs or complex management due to hardware upgrades or increased bandwidth requirements aimed at improving security and real-time performance. The practical application shows that the proposed scheme can effectively enhance the overall security of the system on the basis of ensuring the real-time performance of the system, and provide new ideas and technical support for the optimization of distributed energy systems in the future.