FCS-MPC Based Primary Control with Improved Performance for Islanded AC Microgrids

Yu Li, Zhenbin Zhang, S. Alireza Davari, Cristian Garcia, Jose Rodriguez

Resultado de la investigación: Contribución a los tipos de informe/libroContribución a la conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

In this paper, applying a full state-variable Finite Control Set Model Predictive Control (FCS-MPC) with improved droop controller for parallel operated power inverters in islanded microgrids is described. Virtual impedance and robust droop control are conducted as the outer loop to generate the appropriate reference. Then the FCS-MPC allows the power inverter to track the voltage and current reference with improved performance, considering the dynamic response, the plug-and-play capability, and the amicable realization which are challenging tasks for conventional method. The proposed control scheme has a more compact structure and simplifies the design procedure. Experimental measurements in different operation modes verified its effectiveness. Consequently, FCS-MPC manifests great potential to be a promising alternative for power inverter control of AC microgrids.

Idioma originalInglés
Título de la publicación alojada2020 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781728158495
DOI
EstadoPublicada - feb 2020
Evento11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020 - Tehran, República Islámica de Irán
Duración: 4 feb 20206 feb 2020

Serie de la publicación

Nombre2020 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020

Conferencia

Conferencia11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020
PaísRepública Islámica de Irán
CiudadTehran
Período4/02/206/02/20

Áreas temáticas de ASJC Scopus

  • Ingeniería energética y tecnologías de la energía
  • Energías renovables, sostenibilidad y medio ambiente
  • Ingeniería automovilística
  • Ingeniería eléctrica y electrónica
  • Ingeniería mecánica
  • Control y optimización

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