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

Author

Listed:
  • Rossano Musca

    (Engineering Department, University of Palermo, 90128 Palermo, Italy)

  • Eleonora Riva Sanseverino

    (Engineering Department, University of Palermo, 90128 Palermo, Italy)

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.

Suggested Citation

  • Rossano Musca & Eleonora Riva Sanseverino, 2025. "Peer-to-Peer Distributed Algorithms for Wide-Area Monitoring and Control in Power Systems," Energies, MDPI, vol. 18(15), pages 1-17, July.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:15:p:3972-:d:1709649
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    References listed on IDEAS

    as
    1. Vinicius Tertulino Parede & Alexandre Rasi Aoki & Mateus Duarte Teixeira & Thelma S. Piazza Fernandes & Nathan Elias Maruch Barreto & Flavio Lori Grando & Vanderlei Aparecido da Silva & Fabio Alessand, 2023. "Electrical Event Detection and Monitoring Data Storage from Wide Area Measurement System," Energies, MDPI, vol. 16(4), pages 1-17, February.
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