Modulated Model Predictive Control of an LC-Filtered Neutral-Point Clamped Converter

Venkata Yaramasu, Apparao Dekka, Tomislav Dragicevi, Changming Zheng, Jose Rodriguez

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

Resumen

An LC-filtered neutral-point clamped (NPC) converter is commonly used in distributed generation, uninterrupt- able power supplies and dynamic voltage restorers. A multiobjective modulated modelpredictive voltage control scheme is proposed to control the load voltages and neutral-point voltage of an LC-filtered NPC converter. In this work, the load voltages and converter currents are controlled simultaneously to improve the load voltage quality. An exact discrete-time model of power conversion system is used to predict the future behavior of state variables. These predictions are evaluated by a triple-objective duty-cycle optimized cost function. The three stationary voltage vectors corresponding to the optimal cost function are synthesized by the space vector modulation. The performance of the proposed control scheme is verified through MATLAB simulation results with linearand nonlinear loads. The results indicate fixed switching frequency operation, fast transient response, and low steady-state errors.

Idioma originalInglés
Título de la publicación alojada2020 IEEE 21st Workshop on Control and Modeling for Power Electronics, COMPEL 2020
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781728171609
DOI
EstadoPublicada - 9 nov 2020
Evento21st IEEE Workshop on Control and Modeling for Power Electronics, COMPEL 2020 - Aalborg, Dinamarca
Duración: 9 nov 202012 nov 2020

Serie de la publicación

Nombre2020 IEEE 21st Workshop on Control and Modeling for Power Electronics, COMPEL 2020

Conferencia

Conferencia21st IEEE Workshop on Control and Modeling for Power Electronics, COMPEL 2020
País/TerritorioDinamarca
CiudadAalborg
Período9/11/2012/11/20

Áreas temáticas de ASJC Scopus

  • Control y optimización
  • Modelización y simulación
  • Ingeniería energética y tecnologías de la energía
  • Ingeniería eléctrica y electrónica

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