A new power conversion system for megawatt PMSG wind turbines using four-level converters and a simple control scheme based on two-step model predictive strategy - Part II: Simulation and experimental analysis

Venkata Yaramasu, Wu Bin, Marco Rivera, Jose Rodriguez

Research output: Contribution to journalArticlepeer-review

54 Scopus citations

Abstract

In this paper, a new medium-voltage power conversion system consisting of a four-level boost converter and four-level diode-clamped inverter is proposed for permanent magnet synchronous generator-based megawatt-level wind turbines. To achieve a simple and optimal control performance, a simplified two-step model predictive strategy is proposed. The high-power wind turbine requirements, which include maximum energy harvesting, balancing of dc-link capacitor voltages, net dc-bus voltage control, regulation of grid-reactive power, and the minimization of both switching frequency and common-mode voltage are expressed as cost functions. The best switching states are chosen and applied to the power converters during each sampling interval based on the minimization of cost functions. The feasibility of the proposed configuration and control scheme are verified through MATLAB/Simulink tests on a high power (5 MVA/4160 V/694 A) system and dSPACE experiments on a low power (3.6 kVA/208 V/10 A) prototype.

Original languageEnglish (US)
Article number6683067
Pages (from-to)14-25
Number of pages12
JournalIEEE Journal of Emerging and Selected Topics in Power Electronics
Volume2
Issue number1
DOIs
StatePublished - Mar 1 2014
Externally publishedYes

Keywords

  • AC-dc power conversion
  • boost converter
  • common-mode voltages (CMVs)
  • current control
  • dc-ac power conversion
  • dc-dc power conversion
  • dc-link capacitor voltages balancing
  • digital control
  • direct-driven
  • four-level boost
  • grid-connected
  • maximum power point tracking
  • medium voltage (MV)
  • megawatt-level
  • multilevel converter
  • permanent magnet synchronous machine
  • power conversion
  • predictive control
  • renewable energy
  • state-space model
  • wind energy

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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