基于差分隐私保护的智能电网分布式经济调度方案  

Distributed Economic Dispatch Scheme for Smart Grid Based on Differential Privacy Protection

作　　者：解国庆 梁添 周兵兵 李鸿伟 付文龙 XIE Guoqing;LIANG Tian;ZHOU Bingbing;LI Hongwei;FU Wenlong(Guoneng Jinjie Energy Co.,Ltd.,Yulin 719319,China;Power China Huadong Engineering Co.,Ltd.,Hangzhou 311122,China;College of Electrical Engineering and New Energy,China Three Gorges University,Yichang 443002,China)

机构地区：[1]国能锦界能源有限责任公司,陕西榆林719319 [2]中国电建集团华东勘测设计研究院有限公司,浙江杭州311122 [3]三峡大学电气与新能源学院,湖北宜昌443002

出　　处：《山东电力技术》2025年第4期20-28,共9页Shandong Electric Power

基　　金：梯级水电站运行与控制湖北省重点实验室开放基金(2024KJX04)。

摘　　要：为有效应对分布式智能电网和相关负荷在经济调度中面临的隐私披露的挑战,提出了一种基于差分隐私保护的经济调度方案。首先构建一个基于需求响应的框架,包括需求响应服务器、数据管理器和一组本地控制器。在此基础上,设计服从正态分布的高斯噪声,用以模糊智能电网和负荷隐私变量在通信线路传输的状态信息,同时确保不影响调度结果的收敛性和最优性。此外,还使用Kullback-Leibler(KL)法量化了该方案的隐私保护程度。通过在IEEE 39节点系统上的仿真实验表明,该方案能够有效保护分布式智能电网和相关负荷的隐私,且在计算复杂度和最优性方面均优于基于Paillier加密的经济调度算法。To effectively address the privacy disclosure challenges faced by distributed smart grids and associated loads in economic dispatch,a differential privacy-based economic dispatch scheme is proposed.Initially,a demand response framework is constructed,which includes a demand response server,a data manager,and a set of local controllers.Based on this framework,Gaussian noise following a normal distribution is designed to obscure the state information of smart grids and load privacy variables during transmission over communication lines,while ensuring that the convergence and optimality of the dispatch results are not affected.Additionally,the Kullback-Leibler method is employed to quantify the degree of privacy protection offered by the scheme.Simulation experiments conducted on the IEEE 39-bus system demonstrate that the proposed scheme effectively protects the privacy of distributed smart grids and associated loads and that it outperforms the privacy protection scheme based on the Paillier encryption algorithm in terms of both computational complexity and optimality.

关 键 词：智能电网 分布式经济调度 需求响应框架 差分隐私 

分 类 号：TM734[电气工程—电力系统及自动化]