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Prediction-based deadbeat control for grid-connected inverter with L-filter and LCL-filter

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10.1080/15325008.2014.927031
 
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hdl:2117/24324

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Benyoucef, Abousoufiane
Kara, Kamel
Chouder, Aissa
Silvestre Bergés, SantiagoMés informacióMés informacióMés informació
Document typeArticle
Defense date2014-07-30
Rights accessRestricted access - publisher's policy
Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain
Abstract
In this article, an improved deadbeat control algorithm suitable for digital signal processor-based circuit implementation is proposed. The control algorithm allows the derivation of a nearly sine wave output current with a fixed switching frequency of a current-controlled voltage source inverter. Two low-pass output filters configurations are considered in this study: a simple inductance filter and an LCL-filter. By taking advantage of prior knowledge of the state variables’ shape, the improved deadbeat control algorithm is based on a simple prediction model to derive the expected duty cycle needed to switch on and off the power switches. The control study of the grid-connected inverter with L and LCL output filters has been considered using a co-simulation approach with (Powersim Inc., Rockville, Maryland, USA) and MATLAB software (The MathWorks, Natick, Massachusetts, USA). The obtained results show the improvement of both shape quality and tracking accuracy of the output current quantified by low ripple content and a nearly unity power factor.
CitationBenyoucef, A. [et al.]. Prediction-based deadbeat control for grid-connected inverter with L-filter and LCL-filter. "Electric power components and systems", 30 Juliol 2014, vol. 42, núm. 12, p. 1266-1277. 
URIhttp://hdl.handle.net/2117/24324
DOI10.1080/15325008.2014.927031
ISSN1532-5008
Publisher versionhttp://www.tandfonline.com/doi/pdf/10.1080/15325008.2014.927031#.VAQ6sWflqHs
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  • MNT - Grup de Recerca en Micro i Nanotecnologies - Articles de revista [346]
  • Departament d'Enginyeria Electrònica - Articles de revista [1.608]
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