Measurements for Wide Area Monitoring, Protection, and Control systems: algorithms, instruments and architectures
type: CreativeWork
description: The electric power grid is undergoing a significant transformation as it evolves from traditional centralized systems to more decentralized, dynamic, and smart networks. This transition is driven by the increasing integration of Renewable Energy Sources (RESs), Electric Vehicles (EVs), and distributed generation, all of which present new challenges in terms of stability, reliability, and control of the power systems. In this context, Wide Area Monitoring, Protection, and Control (WAMPAC) systems have emerged as a critical solution to enhance the real-time observability and responsiveness of modern power grids. WAMPAC systems take advantage of synchronized measurement networks to provide a comprehensive view of grid dynamics over large geographical areas. By utilizing data from Phasor Measurement Units (PMUs), WAMPAC systems enable improved detection of grid disturbances, faster response times to system events, and optimized grid management. These advancements are crucial for ensuring the security and efficiency of future power systems, especially in light of the increasing complexity and variability introduced by distributed generation based on RESs. In this context, this thesis focuses on the development, characterization and validation of key measurement tools and methodologies for WAMPAC systems, addressing the core challenges of latency, synchronization accuracy, and synchrophasor estimation algorithms even in presence of dynamic and transient conditions. As a first step, the thesis explores the evolution of power systems and introduces the role of WAMPAC in modern power grids, illustrating the key components of these systems, including PMUs, and the challenges associated with their implementation. To further investigate the implementation of PMUs, new synchrophasor estimation algorithms based on Taylor-Fourier models are proposed and evaluated in order to minimize the measurement error even under real dynamic and transient conditions. Since PMU measurements are…
abstract: The electric power grid is undergoing a significant transformation as it evolves from traditional centralized systems to more decentralized, dynamic, and smart networks. This transition is driven by the increasing integration of Renewable Energy Sources (RESs), Electric Vehicles (EVs), and distributed generation, all of which present new challenges in terms of stability, reliability, and control of the power systems. In this context, Wide Area Monitoring, Protection, and Control (WAMPAC) systems have emerged as a critical solution to enhance the real-time observability and responsiveness of modern power grids. WAMPAC systems take advantage of synchronized measurement networks to provide a comprehensive view of grid dynamics over large geographical areas. By utilizing data from Phasor Measurement Units (PMUs), WAMPAC systems enable improved detection of grid disturbances, faster response times to system events, and optimized grid management. These advancements are crucial for ensuring the security and efficiency of future power systems, especially in light of the increasing complexity and variability introduced by distributed generation based on RESs. In this context, this thesis focuses on the development, characterization and validation of key measurement tools and methodologies for WAMPAC systems, addressing the core challenges of latency, synchronization accuracy, and synchrophasor estimation algorithms even in presence of dynamic and transient conditions. As a first step, the thesis explores the evolution of power systems and introduces the role of WAMPAC in modern power grids, illustrating the key components of these systems, including PMUs, and the challenges associated with their implementation. To further investigate the implementation of PMUs, new synchrophasor estimation algorithms based on Taylor-Fourier models are proposed and evaluated in order to minimize the measurement error even under real dynamic and transient conditions. Since PMU measurements are…
author: GALLUS, GIACOMO
language: eng
keywords: Settore ING-INF/07 - Misure Elettriche e Elettroniche
date published: 2025-02-24T00:00:00+01:00
date modified: 2026-07-24T01:30:12Z
provider: Università di Cagliari
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: Università degli Studi di Cagliari

PropertyValue
property ID: Handle
value: https://hdl.handle.net/11584/489385