面向配电网多主体协同调度的隐私数据聚合方案OA

To address the problem of privacy leakage issues of multiple entities in scheduling optimization for aggregated distributed ener-gy data,it proposes a privacy-preserving data aggregation scheme for multi-agent collaborative scheduling in distribution networks.First-ly,it establishes a data aggregation model considering multi-agent collaborative scheduling in distribution networks that takes into account the distribution characteristics and ownership relationships of distributed energy resources.Subsequently,it implements the ciphertext aggregation of dedicated transformer user data by integrating the concept of data segmentation from secret sharing technology with the ho-momorphic addition properties of a variant ELGamal encryption algorithm.Finally,it constructs a simple verifiable random function over the RSA signature algorithm.Through its uniqueness and verifiability,this VRF construction facilitates dual authentication of the integri-ty and legitimacy of the identity of the dedicated transformer users'data,without relying on trusted authorization institutions or third-party aggregators,while streamlining the identity verification process.Security analysis and performance experiments demonstrate that the pro-posed scheme is proved to be secure against chosen-plaintext attacks.It can resist collusion attacks between specialized transformer users and power dispatch centers,and maintains an effective balance between security and aggregation efficiency.