微电网
差别隐私
加密
计算机科学
计算机安全
隐私保护
信息隐私
数据挖掘
人工智能
控制(管理)
作者
Chengqian Yu,Huifeng Zhang,Zhuxiang Chen,Jiapeng Huang,Tian Ding,Zhen Zhang
标识
DOI:10.1109/acait60137.2023.10528602
摘要
With the integration of a large amount of distributed energy as microgrids into the main power grid for energy interaction, inadequate protection of data may lead to the leakage of user privacy. By considering differential privacy and data encryption, this paper focuses on analyzing the impact of adding truncated Laplace noise to its differential privacy properties in the consistency algorithm. The selected noise is added during the encryption process, and an encrypted differential privacy consistency algorithm is proposed. Finally, a distributed energy management method for microgrids based on encrypted differential privacy protection is presented. The effectiveness of the algorithm is validated through simulations conducted on the IEEE 39-bus system.
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