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

Chen, Wei; Wang, Zidong; Liu, Qinyuan; Yue, Dong; Liu, Guo-Ping

doi:10.1016/j.automatica.2024.111715

Automatica

2024

DOI: 10.1016/j.automatica.2024.111715

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

Wei Chen,

Zidong Wang,

Qinyuan Liu

et al.

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2024

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Cited by 1 publication

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A Distributed Algorithm for Reaching Average Consensus in Unbalanced Tree Networks

Parlangeli

2024

Electronics

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In this paper, a distributed algorithm for reaching average consensus is proposed for multi-agent systems with tree communication graph, when the edge weight distribution is unbalanced. First, the problem is introduced as a key topic of core algorithms for several modern scenarios. Then, the relative solution is proposed as a finite-time algorithm, which can be included in any application as a preliminary setup routine, and it is well-suited to be integrated with other adaptive setup routines, thus making the proposed solution useful in several practical applications. A special focus is devoted to the integration of the proposed method with a recent Laplacian eigenvalue allocation algorithm, and the implementation of the overall approach in a wireless sensor network framework. Finally, a worked example is provided, showing the significance of this approach for reaching a more precise average consensus in uncertain scenarios.

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A Distributed Algorithm for Reaching Average Consensus in Unbalanced Tree Networks

Parlangeli

2024

Electronics

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

Cited by 1 publication

References 34 publications

A Distributed Algorithm for Reaching Average Consensus in Unbalanced Tree Networks

A Distributed Algorithm for Reaching Average Consensus in Unbalanced Tree Networks

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