eprintid: 5755 rev_number: 11 eprint_status: archive userid: 2 dir: disk0/00/00/57/55 datestamp: 2023-02-07 23:30:08 lastmod: 2023-07-11 23:30:35 status_changed: 2023-02-07 23:30:08 type: article metadata_visibility: show creators_name: Agrawal, Himanshi creators_name: Talwariya, Akash creators_name: Gill, Amandeep creators_name: Singh, Aman creators_name: Alyami, Hashem creators_name: Alosaimi, Wael creators_name: Ortega-Mansilla, Arturo creators_id: creators_id: creators_id: creators_id: aman.singh@uneatlantico.es creators_id: creators_id: creators_id: arturo.ortega@uneatlantico.es title: A Fuzzy-Genetic-Based Integration of Renewable Energy Sources and E-Vehicles ispublished: pub subjects: uneat_eng divisions: uneatlantico_produccion_cientifica divisions: uninimx_produccion_cientifica divisions: unic_produccion_cientifica full_text_status: public keywords: renewable energy sources; E-Vehicle charging station; fuzzy logic approach; genetic algorithm abstract: E-Vehicles are used for transportation and, with a vehicle-to-grid optimization approach, they may be used for supplying a backup source of energy for renewable energy sources. Renewable energy sources are integrated to maintain the demand of consumers, mitigate the active and reactive power losses, and maintain the voltage profile. Renewable energy sources are not supplied all day and, to meet the peak demand, extra electricity may be supplied through e-Vehicles. E-Vehicles with random integration may cause system unbalancing problems and need a solution. The objective of this paper is to integrate e-Vehicles with the grid as a backup source of energy through the grid-to-vehicle optimization approach by reducing active and reactive power losses and maintaining voltage profile. In this paper, three case studies are discussed: (i) integration of renewable energy sources alone; (ii) integration of e-Vehicles alone; (iii) integration of renewable energy sources and e-Vehicles in hybrid mode. The simulation results show the effectiveness of the integration and the active and reactive power losses are minimum when we used the third case. date: 2022-04 publication: Energies volume: 15 number: 9 pagerange: 3300 id_number: doi:10.3390/en15093300 refereed: TRUE issn: 1996-1073 official_url: http://doi.org/10.3390/en15093300 access: open language: en citation: Artículo Materias > Ingeniería Universidad Europea del Atlántico > Investigación > Producción Científica Universidad Internacional Iberoamericana México > Investigación > Producción Científica Universidad Internacional do Cuanza > Investigación > Producción Científica Abierto Inglés E-Vehicles are used for transportation and, with a vehicle-to-grid optimization approach, they may be used for supplying a backup source of energy for renewable energy sources. Renewable energy sources are integrated to maintain the demand of consumers, mitigate the active and reactive power losses, and maintain the voltage profile. Renewable energy sources are not supplied all day and, to meet the peak demand, extra electricity may be supplied through e-Vehicles. E-Vehicles with random integration may cause system unbalancing problems and need a solution. The objective of this paper is to integrate e-Vehicles with the grid as a backup source of energy through the grid-to-vehicle optimization approach by reducing active and reactive power losses and maintaining voltage profile. In this paper, three case studies are discussed: (i) integration of renewable energy sources alone; (ii) integration of e-Vehicles alone; (iii) integration of renewable energy sources and e-Vehicles in hybrid mode. The simulation results show the effectiveness of the integration and the active and reactive power losses are minimum when we used the third case. metadata Agrawal, Himanshi; Talwariya, Akash; Gill, Amandeep; Singh, Aman; Alyami, Hashem; Alosaimi, Wael y Ortega-Mansilla, Arturo mail SIN ESPECIFICAR, SIN ESPECIFICAR, SIN ESPECIFICAR, aman.singh@uneatlantico.es, SIN ESPECIFICAR, SIN ESPECIFICAR, arturo.ortega@uneatlantico.es (2022) A Fuzzy-Genetic-Based Integration of Renewable Energy Sources and E-Vehicles. Energies, 15 (9). p. 3300. ISSN 1996-1073 document_url: http://repositorio.unic.co.ao/id/eprint/5755/1/energies-15-03300.pdf