<?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>2026-04-17T02:51:15Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:2117/89506" metadataPrefix="marc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:2117/89506</identifier><datestamp>2026-02-04T07:49:31Z</datestamp><setSpec>com_2072_1033</setSpec><setSpec>col_2072_452950</setSpec></header><metadata><record xmlns="http://www.loc.gov/MARC21/slim" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd">
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      <subfield code="a">García Blanco, Raquel</subfield>
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      <subfield code="a">Díez, Pedro</subfield>
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      <subfield code="a">Borzacchiello, Domenico</subfield>
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      <subfield code="a">Chinesta, Francisco</subfield>
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      <subfield code="c">2016</subfield>
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      <subfield code="a">This paper presents an “offline-online” strategy for optimal allocation and sizing of Distributed Generation. In traditional optimization approaches, each function evaluation requires the solution of a power flow problem, which makes global optimality a computationally challenging goal. In the proposed strategy the power flow solver is invoked only once and a parametric solution is constructed with a monolithic solver. Despite the fact that the parametrized power flow equations result in a high-dimensional problem, the proposed algorithm is specifically designed to circumvent the curse of dimensionality. This is achieved through the application of Model Reduction, in particular the Proper Generalized Decomposition combined with a nonlinear solver. Numerical examples are carried out for showing the validity of the proposed method.</subfield>
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      <subfield code="a">Àrees temàtiques de la UPC::Enginyeria electrònica</subfield>
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      <subfield code="a">Àrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica::Mètodes numèrics</subfield>
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      <subfield code="a">Distributed generation of electric power--Mathematical models</subfield>
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      <subfield code="a">distributed power generation</subfield>
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      <subfield code="a">load flow control</subfield>
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      <subfield code="a">power distribution control</subfield>
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      <subfield code="a">power generation control</subfield>
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      <subfield code="a">reduced order Systems</subfield>
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      <subfield code="a">reduced order modeling approach</subfield>
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      <subfield code="a">optimal allocation</subfield>
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      <subfield code="a">distributed generation</subfield>
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      <subfield code="a">offline-online strategy</subfield>
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      <subfield code="a">global optimality</subfield>
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      <subfield code="a">parametrized power flow equation</subfield>
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      <subfield code="a">proper generalized decomposition</subfield>
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      <subfield code="a">Energia elèctrica -- Distribució -- Models matemàtics</subfield>
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      <subfield code="a">A Reduced Order Modeling approach for optimal allocation of Distributed Generation in power distribution systems</subfield>
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