Peer-to-Peer Distributed Algorithms for Wide-Area Monitoring and Control in Power Systems

This paper proposes peer-to-peer distributed algorithms for locally determining global power system quantities—specifically the total inertia and average frequency—which are critical for wide-area monitoring and control. These algorithms use a network of distributed measurement units that communicate locally, based on the push-sum protocol, to compute global information without centralized coordination. Applied to the large-scale European power system, these methods demonstrate an effective performance across varying time scales and system sizes, offering technical and economic advantages over centralized approaches.

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Publication Details

Journal
Energies
Published
2025-07-25
DOI
https://doi.org/10.3390/en18153972
Citations
1
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
1.49
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article

Peer-to-Peer Distributed Algorithms for Wide-Area Monitoring and Control in Power Systems

Rossano Musca, Eleonora Riva Sanseverino
1 citations
Energies
Distributed Control Multi-Agent Systems
1.49
article

Peer-to-Peer Distributed Algorithms for Wide-Area Monitoring and Control in Power Systems

Rossano Musca, Eleonora Riva Sanseverino
article en
1 citations

Abstract

This paper proposes peer-to-peer distributed algorithms for locally determining global power system quantities—specifically the total inertia and average frequency—which are critical for wide-area monitoring and control. These algorithms use a network of distributed measurement units that communicate locally, based on the push-sum protocol, to compute global information without centralized coordination. Applied to the large-scale European power system, these methods demonstrate an effective performance across varying time scales and system sizes, offering technical and economic advantages over centralized approaches.

EnergiesVol. 18(15)
University of Palermo (IT)
Openalex Percentile: Top 14%
Distributed Control Multi-Agent Systems
1.49
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