Long-horizon predictive current control of modular-multilevel converter HVDC systems

Zhenbin Zhang, Mahmoud T. Larijani, Wei Tian, Xiaonan Gao, José Rodríguez, Ralph Kennel

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

5 Citas (Scopus)

Resumen

High voltage direct current (HVDC) transmission systems play an increasingly important role in offshore wind energy and long distance energy transmission systems. Modular multilevel converter (MMC) is an attractive topology for HVDC systems, due to its good modularity, scalability and inherent fault tolerant capabilities. For such topology, model predictive control (MPC) is a promising alternative. In particular, the long-horizon MPC provides better performances in terms of smaller THDs at very low switching frequency. However, its computational load is seen as a big challenge. In this paper we apply a long-horizon model predictive current control (MPCC) to a seven-level MMC-HVDC system. A switch and extrapolation and capacitor voltage sorting techniques are developed and combined to reduce the total computational burden. Performances of the proposed control strategy are evaluated with simulation results at a 65 MVA back-to-back 7L-MMC-HVDC configuration.

Idioma originalInglés
Título de la publicación alojadaProceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas4524-4530
Número de páginas7
Volumen2017-January
ISBN (versión digital)9781538611272
DOI
EstadoPublicada - 15 dic 2017
Evento43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017 - Beijing, China
Duración: 29 oct 20171 nov 2017

Conferencia

Conferencia43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017
País/TerritorioChina
CiudadBeijing
Período29/10/171/11/17

Áreas temáticas de ASJC Scopus

  • Ingeniería industrial y de fabricación
  • Control y optimización
  • Ingeniería energética y tecnologías de la energía
  • Ingeniería eléctrica y electrónica

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