A new privacy-preserving average consensus algorithm with two-phase structure: Applications to load sharing of microgrids

Chen，Wei1; Wang，Zidong2; Liu，Qinyuan3,4,5; Yue，Dong6; Liu，Guo Ping1

2024-09-01

10.1016/j.automatica.2024.111715

Automatica   影响因子和分区

0005-1098

This paper is concerned with the privacy-preserving average consensus problem for discrete-time multi-agent systems. The main goal of this paper is to develop a privacy-preserving algorithm that ensures all agents in the network to reach exact average consensus while keeping the initial state of each agent private. To achieve this, a novel two-phase privacy-preserving algorithm is proposed. In the first phase, each agent generates a group of independent random signals and creates a mask signal via local data exchange. In the second phase, all agents execute a standard consensus algorithm. Rigorous analysis shows that each agent can converge to exact average consensus while protecting sensitive information of individuals against internal honest-but-curious nodes and external eavesdroppers. Moreover, the developed algorithm is applied to the distributed load sharing of microgrids. Finally, a simulation example is provided to verify the theoretical results.

Average consensus algorithm Distributed load sharing Multi-agent systems Privacy preservation Two-phase structure

EI

英语

第一

20242316196573

Electronic data interchange ; Phase structure ; Privacy-preserving techniques ; Software agents

Telecommunication; Radar, Radio and Television:716 ; Telephone Systems and Related Technologies; Line Communications:718 ; Data Processing and Image Processing:723.2 ; Physical Properties of Gases, Liquids and Solids:931.2 ; Solid State Physics:933

ENGINEERING

2-s2.0-85194726515

Scopus

1.Shenzhen Key Laboratory of Control Theory and Intelligent Systems,Southern University of Science and Technology,Shenzhen,518055,China
2.Department of Computer Science,Brunel University London,Uxbridge,Middlesex,UB8 3PH,United Kingdom
3.Department of Computer Science and Technology,Tongji University,Shanghai,201804,China
4.Key Laboratory of Embedded System and Service Computing,Ministry of Education,Tongji University,Shanghai,200092,China
5.Shanghai Artificial Intelligence Laboratory,Shanghai,China
6.Institute of Advanced Technology,Nanjing University of Posts and Telecommunication,Nanjing,210023,China

Chen，Wei,Wang，Zidong,Liu，Qinyuan,et al. A new privacy-preserving average consensus algorithm with two-phase structure: Applications to load sharing of microgrids[J]. Automatica,2024,167.

Chen，Wei,Wang，Zidong,Liu，Qinyuan,Yue，Dong,&Liu，Guo Ping.(2024).A new privacy-preserving average consensus algorithm with two-phase structure: Applications to load sharing of microgrids.Automatica,167.

Chen，Wei,et al."A new privacy-preserving average consensus algorithm with two-phase structure: Applications to load sharing of microgrids".Automatica 167(2024).