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Memorias de investigación
Artículos en revistas:
Improved Predictive Direct Power control of Doubly Fed Induction Generator during unbalanced Grid Voltage Based on Four Vectors
Año:2016
Áreas de investigación
  • Ingeniería eléctrica,
  • Generación y almacenamiento de energía eléctrica
Datos
Descripción
This paper presents an improved strategy in the field of predictive direct power control (PDPC) of the doubly fed induction generator (DFIG). The proposed strategy applies four voltage vectors in every period in order to have constant switching frequency and low current THD. The appropriate voltage vectors in each period are recognized when estimated duration times of selected active vectors are positive. The suggested technique has excellent performance during transient and steady-state conditions. The proposed PDPC can easily flow the power references under normal and abnormal voltage conditions even if the power references contain ac terms. Without any additional controller, the proposed technique could obtain smooth stator active and reactive powers or smooth electromagnetic torque or could inject sinusoidal and balanced currents into the grid when the unbalanced voltage appears in the stator windings of DFIG. The simulation studies for this technique are carried out for 2 MW DFIG in Matlab Simulink environment under balanced and unbalanced grid voltage. The results of this technique under unbalanced grid voltage are compared to other two previous PDPC strategies. The comparisons show that the performance of the proposed strategy under unbalanced grid voltage is superior to the other two strategies.
Internacional
Si
JCR del ISI
Si
Título de la revista
IEEE Journal of Emerging and Selected Topics in Power Electronics, Under Revision Stage
ISSN
2168-6777
Factor de impacto JCR
3,13
Información de impacto
Volumen
5,
DOI
10.1109/JESTPE.2016.2611004
Número de revista
13 October
Desde la página
2168
Hasta la página
6777
Mes
OCTUBRE
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Mohammad Ebrahim Zarei (UPM)
  • Autor: Carlos Veganzones Nicolas (UPM)
  • Autor: Jaime Rodriguez Arribas (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Generación eléctrica con energía eólica
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