<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>2602-8492</journal-id>
<journal-title><![CDATA[Revista Técnica energía]]></journal-title>
<abbrev-journal-title><![CDATA[Revista Técnica energía]]></abbrev-journal-title>
<issn>2602-8492</issn>
<publisher>
<publisher-name><![CDATA[Operador Nacional de Electricidad CENACE]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2602-84922020000200071</article-id>
<article-id pub-id-type="doi">10.37116/revistaenergia.v17.n1.2020.393</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Óptimo dimensionamiento y ubicación de generación fotovoltaica en una microred georeferenciada utilizando generación de columnas]]></article-title>
<article-title xml:lang="en"><![CDATA[Optimal sizing and allocation of photovoltaic generation in a georeferenced microgrid using column generation]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Vargas]]></surname>
<given-names><![CDATA[Santiago]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Pavón]]></surname>
<given-names><![CDATA[Wilson]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Politécnica Salesiana Departamento de Ingeniería Eléctrica ]]></institution>
<addr-line><![CDATA[Quito ]]></addr-line>
<country>Ecuador</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Politécnica Salesiana Departamento de Ingeniería Eléctrica ]]></institution>
<addr-line><![CDATA[Quito ]]></addr-line>
<country>Ecuador</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2020</year>
</pub-date>
<volume>17</volume>
<numero>1</numero>
<fpage>71</fpage>
<lpage>79</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.senescyt.gob.ec/scielo.php?script=sci_arttext&amp;pid=S2602-84922020000200071&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.senescyt.gob.ec/scielo.php?script=sci_abstract&amp;pid=S2602-84922020000200071&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.senescyt.gob.ec/scielo.php?script=sci_pdf&amp;pid=S2602-84922020000200071&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[  Resumen:  Within the Electricity Distribution Systems (EDS), consumers have the energy demand, which is the main topic of discussion, which is necessary to satisfy it. From this point on, it is important to consider that the fact of delivering energy from the centralized generation points to the loads implies a great investment and expense, if the following considerations are put on the table: energy losses, operating costs, levels of voltage, etc. Distributed Generation (DG), using non-standard renewable energy (NSRE), opens a space as a possible solution to specific problems, since the GD is located at strategic points and close to loads and has the capacity to meet demand required in said node, as well as delivering power to the EDS, if necessary; Therefore, the technical, economic and operational problems that may exist are minimized. This document will present the optimal location and dimensioning of the DG units with photovoltaic technology that will be introduced to the EDS by means of an algorithm, which will allow to minimize operating costs, based on the method of generating columns that will be implemented; In addition to generating a micro network without routing, which represents a scenario, as real as possible, from georeferencing with the help of graph theory to be implemented.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: Within the Electricity Distribution Systems (EDS), consumers have the energy demand, which is the main topic of discussion, which is necessary to satisfy it. From this point on, it is important to consider that the fact of delivering energy from the centralized generation points to the loads implies a great investment and expense, if the following considerations are put on the table: energy losses, operating costs, levels of voltage, etc. Distributed Generation (DG), using non-standard renewable energy (NSRE), opens a space as a possible solution to specific problems, since the GD is located at strategic points and close to loads and has the capacity to meet demand required in said node, as well as delivering power to the EDS, if necessary; Therefore, the technical, economic and operational problems that may exist are minimized. This document will present the optimal location and dimensioning of the DG units with photovoltaic technology that will be introduced to the EDS by means of an algorithm, which will allow to minimize operating costs, based on the method of generating columns that will be implemented; In addition to generating a micro network without routing, which represents a scenario, as real as possible, from georeferencing with the help of graph theory to be implemented.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Simulación]]></kwd>
<kwd lng="es"><![CDATA[consumo eléctrico residencial]]></kwd>
<kwd lng="es"><![CDATA[comportamiento dinámico]]></kwd>
<kwd lng="es"><![CDATA[VENSIM.]]></kwd>
<kwd lng="en"><![CDATA[Simulation]]></kwd>
<kwd lng="en"><![CDATA[household energy consumption]]></kwd>
<kwd lng="en"><![CDATA[dynamic behavior]]></kwd>
<kwd lng="en"><![CDATA[VENSIM.]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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