Volume 20, Issue 3 (September 2024)                   IJEEE 2024, 20(3): 25-37 | Back to browse issues page

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khati A. Multivariable Prediction Control for Direct Vector Control of a DFIG-based Wind Turbine using a Fuzzy Space Vector Modulation Converter. IJEEE 2024; 20 (3) :25-37
URL: http://ijeee.iust.ac.ir/article-1-3180-en.html
Multivariable Prediction Control for Direct Vector Control of a DFIG-based Wind Turbine using a Fuzzy Space Vector Modulation Converter
Azzedine Khati
Abstract:   (499 Views)
In this research paper, a multivariable prediction control method based on direct vector control is applied to command the active power and reactive power of a doubly-fed induction generator used into a wind turbine system. To obtain high energy performance, the space vector modulation inverter based on fuzzy logic technique (fuzzy space vector modulation) is used to reduce stator currents harmonics and active power and reactive power ripples. Also the direct vector control model of the doubly-fed induction generator is required to ensure a decoupled control. Then its classic proportional integral regulators are replaced by the multivariable prediction controller in order to adjust the active and reactive power. So, in this work, we implement a new method of control for the doubly-fed induction generator energy. This method is carried out for the first time by combining the MPC strategy with artificial intelligence represented by Fuzzy SVM-based converter in order to overcome the drawbacks of other controllers used in renewable energies. The given simulation results using Matlab software show a good performance of the used strategy, particularly with regard to the quality of the energy supplied.
Keywords: Doubly-fed induction generator (DFIG), fuzzy logic, multivariable prediction control (MPC), space vector modulation (SVM), direct vector control (DVC), artificial intelligent (AI).
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Type of Study: Research Paper | Subject: Fuzzy Systems
Received: 2024/01/20 | Revised: 2024/10/06 | Accepted: 2024/09/16
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© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.