Reconfigurable step-up/down partial power converter for PV power optimizer

H. Renaudineau, D. Pesantez, N. Muller, F. Flores-Bahamonde, S. Kouro, J. Rodriguez

Producción científica: Contribución a los tipos de informe/libroContribución a la conferenciarevisión exhaustiva

3 Citas (Scopus)

Resumen

This paper presents an innovative reconfigurable partial power converter (PPC) with step-up/down capability for photovoltaic (PV) power optimizer applications. By using a proper reconfigurable scheme, the proposed converter can operate as Type I PPC when operating as step-up, and Type II PPC when operating as step-down. Thanks to this feature, the proposed converter presents an inherent advantage compared to state-of-the-art of step-up/down PPCs. Indeed, the proposed converter presents higher partiality and wider operating range, leading to a more efficient and smaller solution. In order to validate its effectiveness and performances, the proposed converter is used as a PV power optimizer. Simulation results of the proposed reconfigurable step-up/down PPC for PV power optimizers show the interest of the proposed solution, with an estimated efficiency reaching 98.5%.

Idioma originalInglés
Título de la publicación alojada2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781728193878
DOI
EstadoPublicada - 2022
Evento2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022 - Detroit, Estados Unidos
Duración: 9 oct. 202213 oct. 2022

Serie de la publicación

Nombre2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022

Conferencia

Conferencia2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
País/TerritorioEstados Unidos
CiudadDetroit
Período9/10/2213/10/22

Áreas temáticas de ASJC Scopus

  • Ingeniería eléctrica y electrónica
  • Ingeniería mecánica
  • Seguridad, riesgos, fiabilidad y calidad
  • Ingeniería energética y tecnologías de la energía
  • Energías renovables, sostenibilidad y medio ambiente
  • Control y optimización

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