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.

Musca, R., Riva Sanseverino, E. (2025). Peer-to-Peer Distributed Algorithms for Wide-Area Monitoring and Control in Power Systems. ENERGIES, 18(15) [10.3390/en18153972].

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

Rossano Musca;Eleonora Riva Sanseverino
2025-07-25

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.
25-lug-2025
Musca, R., Riva Sanseverino, E. (2025). Peer-to-Peer Distributed Algorithms for Wide-Area Monitoring and Control in Power Systems. ENERGIES, 18(15) [10.3390/en18153972].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/709485
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