Bidirectional Multisubset Data Aggregation Privacy Protection Method between Smart Distribution Systems and Smart Buildings

The distribution system can monitor customer electricity consumption data through bidirectional exchange with public buildings to achieve accurate energy demand prediction and load management for smart grids, and identify customer abnormalities to improve grid reliability and customer quality of electricity consumption. However, the plaintext transmission of user data is vulnerable to attacks and causes user privacy leakage, and the existing bidirectional encrypted aggregation methods cannot handle the more relevant realistic multi-subset aggregation. In view of the small scale and high multi-dimensionality of electricity consumption data between the existing intelligent distribution system and public buildings, as well as the problem of bidirectional aggregation privacy leakage between users and control centers, this paper proposes a privacy data protection method based on bidirectional aggregation of multi-subject subsets, and proposes a Paillier homomorphic cryptosystem based on it and supports dynamic billing scheme.