东北电力技术2026，Vol.47Issue(1)：1-8,13,9.
面向配电网多主体协同调度的隐私数据聚合方案
Privacy-Preserving Data Aggregation Scheme for Multi-Agent Collaborative Scheduling in Distribution Network
摘要
Abstract
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.关键词
数据聚合/完整性验证/隐私保护/分布式协同调度/安全性分析Key words
data aggregation/integrity verification/privacy preservation/distributed collaborative scheduling/security analysis分类
信息技术与安全科学引用本文复制引用
郭光来,高丽媛,付昀夕,刘嘉熹,张沛尧..面向配电网多主体协同调度的隐私数据聚合方案[J].东北电力技术,2026,47(1):1-8,13,9.基金项目
国网信息通信产业集团有限公司科技创新项目(SGIT0000KJJS2400504) （SGIT0000KJJS2400504）
