Work

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

Year: 2025

Type: article

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.

Source: Energies

DOI: 10.3390/en18153972

Authors: Rossano Musca, Eleonora Riva Sanseverino

Institution: University of Palermo

Language: English

Topic: Power System Optimization and Stability

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy

Open Access status: gold

Estimated APC paid: $3,137