<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-04T02:23:51Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:10256/16568" metadataPrefix="mets">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:10256/16568</identifier><datestamp>2024-06-13T09:51:17Z</datestamp><setSpec>com_2072_453036</setSpec><setSpec>com_2072_2054</setSpec><setSpec>col_2072_453038</setSpec></header><metadata><mets xmlns="http://www.loc.gov/METS/" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" ID="&#xa;&#x9;&#x9;&#x9;&#x9;DSpace_ITEM_10256-16568" TYPE="DSpace ITEM" PROFILE="DSpace METS SIP Profile 1.0" xsi:schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd" OBJID="&#xa;&#x9;&#x9;&#x9;&#x9;hdl:10256/16568">
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                  <mods:namePart>Souto, Laiz</mods:namePart>
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                  <mods:namePart>Torrent-Fontbona, Ferran</mods:namePart>
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                  <mods:namePart>Herraiz Jaramillo, Sergio</mods:namePart>
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                  <mods:namePart>Meléndez i Frigola, Joaquim</mods:namePart>
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                  <mods:dateAccessioned encoding="iso8601">2024-06-13T09:51:17Z</mods:dateAccessioned>
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               <mods:identifier type="uri">http://hdl.handle.net/10256/16568</mods:identifier>
               <mods:abstract>Comunicació presentada a "Tenth Protection, Automation and Control (PAC) World Conference", celebrada del 17 al 20 de juny de 2019 a la University of Strathclyde a Glasgow, UKPAC World Conference (10th: 2019: Glasgow,UK)This work presents the development and results of an automated event detection strategy based on principal component analysis (PCA) for low voltage distribution grids with the presence of distributed generation (DG) and phasor measurement units (PMUs). The proposed methodology, relying on measurements provided by PMUs installed at different nodes, is capable of correctly identifying and distinguishing abnormal operating conditions (AOC) from normal operating conditions (NOC) without requiring any information about the network topology or electrical parameters of its components. Moreover, it is tested and validated under voltage sags and swells in a real-based power distribution network simulated in MATLAB with PMUs deployed in distinct settings</mods:abstract>
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               <mods:subject>
                  <mods:topic>Baixa tensió -- Congressos</mods:topic>
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               <mods:subject>
                  <mods:topic>Low voltage systems -- Congresses</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Enginyeria elèctrica -- Congressos</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Electrical engineering -- Congresses</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Control electrònic -- Congressos</mods:topic>
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               <mods:subject>
                  <mods:topic>Electronic control -- Congresses</mods:topic>
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               <mods:subject>
                  <mods:topic>Anàlisi de components principals -- Congressos</mods:topic>
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                  <mods:topic>Principal components analysis -- Congresses</mods:topic>
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                  <mods:title>Detection of Voltage Fluctuations in Low-Voltage Power Distribution Networks with Principal Component Analysis</mods:title>
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