A Privacy-Preserving Distributed Subgradient Algorithm for the Economic Dispatch Problem in Smart Grid

被引：11

作者：

Xu, Qian ^{[1
]}

Yu, Chutian ^{[1
]}

Yuan, Xiang ^{[1
]}

Fu, Zao ^{[2
]}

Liu, Hongzhe ^{[2
]}

机构：

[1] State Grid Zhejiang Econ Res Inst, Hangzhou 310008, Peoples R China

[2] Beijing Yinshan Technol CO LTD, Beijing 100871, Peoples R China

来源：

IEEE-CAA JOURNAL OF AUTOMATICA SINICA | 2023年 / 10卷 / 07期

关键词：

Privacy; Smart grids; Linear programming; Cost function; Topology; Protocols; Focusing;

D O I：

10.1109/JAS.2022.106028

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Dear Editor This letter aims to establish a privacy-preserving distributed optimization algorithm by combining the consensus iteration by subgradients, which not only enables the privacy preservation of optimization but also guarantees the optimality of solutions with some bias bounds. IEEE

引用

页码：1625 / 1627

页数：3

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