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<dim:field authority="453B8095-72CB-4766-A0FA-AA69EBEF811F" element="contributor" qualifier="author" confidence="ACCEPTED" language="es-ES" mdschema="dc">Martínez Velázquez, Miguel</dim:field>
<dim:field element="date" qualifier="accessioned" mdschema="dc">2025-11-12T16:13:33Z</dim:field>
<dim:field element="date" qualifier="available" mdschema="dc">2025-11-12T16:13:33Z</dim:field>
<dim:field element="date" qualifier="issued" language="es_ES" mdschema="dc">2025-10-06</dim:field>
<dim:field element="identifier" qualifier="uri" mdschema="dc">http://hdl.handle.net/11531/107174</dim:field>
<dim:field element="description" language="es_ES" mdschema="dc">Capítulos en libros</dim:field>
<dim:field element="description" qualifier="abstract" language="es-ES" mdschema="dc">Distribution planners face a challenge in understanding the capability of their grids to host residential electric vehicles (EVs), particularly when the exact locations of new EVs are unknown. Residential EVs could be adopted throughout a feeder or in clusters across a feeder. The aggregated impact on the system could vary significantly between different adoption levels and scenarios. This paper aims to quantify the allowable residential EV adoption on distribution feeders regardless of which customers might adopt.In other words, this study aims to answer the following question: what percentage of customers could adopt an EV before the system could experience a grid constraint? This paper discusses the complexities of performing such analysis with existing methods and proposes a new approach to assess the hosting capacity of distribution systems for future distributed EV adoption scenarios.</dim:field>
<dim:field element="description" qualifier="abstract" language="en-GB" mdschema="dc">Distribution planners face a challenge in understanding the capability of their grids to host residential electric vehicles (EVs), particularly when the exact locations of new EVs are unknown. Residential EVs could be adopted throughout a feeder or in clusters across a feeder. The aggregated impact on the system could vary significantly between different adoption levels and scenarios. This paper aims to quantify the allowable residential EV adoption on distribution feeders regardless of which customers might adopt.In other words, this study aims to answer the following question: what percentage of customers could adopt an EV before the system could experience a grid constraint? This paper discusses the complexities of performing such analysis with existing methods and proposes a new approach to assess the hosting capacity of distribution systems for future distributed EV adoption scenarios.</dim:field>
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<dim:field element="publisher" language="es_ES" mdschema="dc">Institute of Electrical and Electronics Engineers Power and Energy Society; Christian-Albrechts-Univ (Kiel, Alemania)</dim:field>
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<dim:field element="source" language="es_ES" mdschema="dc">Libro: 16th IEEE PowerTech Conference - PowerTech 2025, Página inicial: 1-6, Página final:</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">Grid-wide hosting capacity analysis for distributed residential EV adoption</dim:field>
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<dim:field element="rights" qualifier="accessRights" language="es_ES" mdschema="dc">info:eu-repo/semantics/restrictedAccess</dim:field>
<dim:field element="keywords" language="es-ES" mdschema="dc">power distribution, hosting capacity, electric vehicles, power system planning</dim:field>
<dim:field element="keywords" language="en-GB" mdschema="dc">power distribution, hosting capacity, electric vehicles, power system planning</dim:field>
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