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<dim:field authority="0000-0002-5506-9027" element="contributor" qualifier="author" confidence="ACCEPTED" language="es-ES" mdschema="dc">Lumbreras Sancho, Sara</dim:field>
<dim:field authority="0000-0002-8871-1872" element="contributor" qualifier="author" confidence="ACCEPTED" language="es-ES" mdschema="dc">Ramos Galán, Andrés</dim:field>
<dim:field authority="0000-0003-2841-3934" element="contributor" qualifier="author" confidence="ACCEPTED" language="es-ES" mdschema="dc">Sánchez Martín, Pedro</dim:field>
<dim:field element="date" qualifier="accessioned" mdschema="dc">2016-01-15T11:14:23Z</dim:field>
<dim:field element="date" qualifier="available" mdschema="dc">2016-01-15T11:14:23Z</dim:field>
<dim:field element="date" qualifier="issued" language="es_ES" mdschema="dc">2015-12-01</dim:field>
<dim:field element="identifier" qualifier="issn" language="es_ES" mdschema="dc">1095-4244</dim:field>
<dim:field element="identifier" qualifier="uri" language="es_ES" mdschema="dc">https://doi.org/10.1002/we.1807</dim:field>
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<dim:field element="description" qualifier="abstract" language="es-ES" mdschema="dc">Electrical layout design is, for offshore wind farms (OWF), a complex problem that has a far-reaching impact on both plant cost and reliability. A full optimization of the layout, as opposed to just selecting the most favorable pre-established configuration, is required in order to capture all the potential efficiencies. However, classical optimization methods such as mixed-integer programming (MIP) might not be applicable to large OWFs. This paper describes a novel combination of ordinal optimization (OO) and MIP that is able to deal with large problems in reduced computation times with a statistical optimality guarantee. The algorithm is applied to a real case study taken from Barrow Offshore Wind Farm in the East Irish Sea.</dim:field>
<dim:field element="description" qualifier="abstract" language="en-GB" mdschema="dc">Electrical layout design is, for offshore wind farms (OWF), a complex problem that has a far-reaching impact on both plant cost and reliability. A full optimization of the layout, as opposed to just selecting the most favorable pre-established configuration, is required in order to capture all the potential efficiencies. However, classical optimization methods such as mixed-integer programming (MIP) might not be applicable to large OWFs. This paper describes a novel combination of ordinal optimization (OO) and MIP that is able to deal with large problems in reduced computation times with a statistical optimality guarantee. The algorithm is applied to a real case study taken from Barrow Offshore Wind Farm in the East Irish Sea.</dim:field>
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<dim:field element="source" language="es_ES" mdschema="dc">Revista: Wind Energy, Periodo: 1, Volumen: online, Número: 12, Página inicial: 2241, Página final: 2258</dim:field>
<dim:field element="subject" qualifier="other" language="es_ES" mdschema="dc">Instituto de Investigación Tecnológica (IIT)</dim:field>
<dim:field element="title" language="es_ES" mdschema="dc">Offshore wind farm electrical design using a hybrid of ordinal optimization and mixed-integer programming</dim:field>
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<dim:field element="keywords" language="es-ES" mdschema="dc">offshore wind farms; collector system; transmission system; electrical layout; circuit optimization</dim:field>
<dim:field element="keywords" language="en-GB" mdschema="dc">offshore wind farms; collector system; transmission system; electrical layout; circuit optimization</dim:field>
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