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

Rossano Musca () and Eleonora Riva Sanseverino
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Rossano Musca: Engineering Department, University of Palermo, 90128 Palermo, Italy
Eleonora Riva Sanseverino: Engineering Department, University of Palermo, 90128 Palermo, Italy

Energies, 2025, vol. 18, issue 15, 1-17

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.

Keywords: peer-to-peer; distributed; wide-area monitoring and control; WAMC; inertia estimation; frequency control; damping (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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