Prediction-based Deadbeat Control for Grid-connected Inverter with L-filter and LCL-filter |
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| Authors: | Abousoufiane Benyoucef Kamel Kara Aissa Chouder Santigo Silvestre |
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| Affiliation: | 1. SET Laboratory, Department of Electronics, University of Blida, Blida, Algeria;2. Centre de Développement des Energies Renouvelables, Bouzaréah, Algiers, Algeria;3. Electronic Engineering Department, Universitat Politècnica de Catalunya, C/Jordi Girona 1-3, Campus Nord UPC, Barcelona, Spain |
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| Abstract: | 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. |
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| Keywords: | renewable energy single-phase inverter grid-connected deadbeat algorithm predictive control L-filter LCL-filter unity power factor lower total harmonic distortions digital signal processor |
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