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  • Accepted Manuscript: Model predictive direct power control for active power decoupled single-phase quasi-Z -source inverter

Title: Model predictive direct power control for active power decoupled single-phase quasi-Z -source inverter

In this study, the active power filter (APF) that consists of a half-bridge leg and an ac capacitor is integrated in the single-phase quasi-Z-source inverter (qZSI) in this paper to avoid the second harmonic power flowing into the dc side. The capacitor of APF buffers the second harmonic power of the load, and the ac capacitor allows highly pulsating ac voltage, so that the capacitances of both dc and ac sides can be small. A model predictive direct power control (DPC) is further proposed to achieve the purpose of this newtopology through predicting the capacitor voltage of APF at each sampling period and ensuring the APF power to track the second harmonic power of single-phase qZSI. Simulation and experimental results verify the model predictive DPC for the APF-integrated single-phase qZSI.
Authors:
 [1] ;  [2] ;  [1] ;  [3] ;  [4] ;  [5]
+ Show Author Affiliations
  1. Texas A & M Univ. at Qatar, Doha (Qatar)
  2. Texas A & M Univ., College Station, TX (United States)
  3. Hebei Univ. of Technology, Tianjin (China)
  4. Michigan State Univ., East Lansing, MI (United States)
  5. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Publication Date:
Grant/Contract Number:
AC05-00OR22725
Type:
Accepted Manuscript
Journal Name:
IEEE Transactions on Industrial Informatics
Additional Journal Information:
Journal Volume: 12; Journal Issue: 4; Journal ID: ISSN 1551-3203
Publisher:
IEEE
Research Org:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
Subject:
30 DIRECT ENERGY CONVERSION; single-phase system; Active power decoupling; direct power control; quasi-Z source inverter; second harmonic power; capacitors; predictive models; active filters; inverters; capacitance; modulation; harmonic analysis
OSTI Identifier:
1331094
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