Privacy-preserving unknown input observer-based decentralized predictive control of Microgrids

被引：0

作者：

Chen, Changzhi ^{[1
]}

Chen, Mengdi ^{[1
]}

Lu, Shaohang ^{[1
]}

Han, Kezhen ^{[1
]}

机构：

[1] Jinan Univ, Sch Elect Engn, Jinan 250022, Peoples R China

来源：

2022 41ST CHINESE CONTROL CONFERENCE (CCC) | 2022年

基金：

中国国家自然科学基金; 中国博士后科学基金;

关键词：

Decentralized Predictive Control; Microgrid; Integrated Design; Privacy-Preserving; Unknown Input Observer; FREQUENCY CONTROL; MODEL;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper studies the decentralized predictive control problem for microgrids. The proposed constrained control method has the following advantages: (1) it takes into account the privacy protection of the control system, which helps to protect the network transmission data and block the influence of eavesdropping attacks; (2) the observer and the controller are determined by the integrated design, which helps to reduce the influence of the bi-directional interaction error between the estimation error and the control error and improve the robustness of the predictive control. Finally, the validity of the above conclusions obtained in this paper is verified by a numerical example.

引用

页码：293 / 298

页数：6

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