Advanced Fuzzy 12 DTC Control of Doubly Fed Induction Generator for Optimal Power Extraction in Wind Turbine System under Random Wind Conditions
| Autor: | Ali Alzaed, Seddik Bacha, Younes Sahri, Nasim Ullah, Salah Tamalouzt, Ahmad Aziz Al Ahamdi, Sofia Lalouni Belaid |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Maximum power principle
fuzzy direct torque control Environmental effects of industries and plants Renewable Energy Sustainability and the Environment Computer science Geography Planning and Development doubly fed induction generator TJ807-830 Management Monitoring Policy and Law Nonlinear control TD194-195 Fuzzy logic Turbine Wind speed Renewable energy sources Power (physics) Environmental sciences wind energy conversion system Direct torque control non-linear control Control theory twelve-sector methodology GE1-350 MPPT and pitch angle control |
| Zdroj: | Sustainability, Vol 13, Iss 11593, p 11593 (2021) Sustainability Volume 13 Issue 21 |
| ISSN: | 2071-1050 |
| Popis: | A wind turbine (WT)-based doubly fed induction generator (DFIG) is the most often used generator in the wind conversion system market due to its advantages such as the ability of operating under variable wind speed and its high performance. However, nonlinear dynamical and parameter uncertainties of the DFIG make the controller design of this kind of system a challenging work. Thus, in this study, a novel control strategy was proposed to design the desired system dynamics, to highlight the efficacy of the proposed system, and to improve the performance of the closed-loop system. The proposed controller combines the twelve-sector direct torque control (12-DTC) and the fuzzy controller with modified rules to solve the limitations and shortcomings of the usual methods for the WT-DFIG system. All operation modes, successively and continually, were considered to reflect the true operation of WT-DFIG system subject to random wind speeds. The aims of this work was to ensure an optimal operation of the wind generator, extracting maximum power in the zone II of the WT characteristic, and limiting this power in its maximum value in the case (zone III), to transmit the power generated by the DFIG to the grid-side with minimum losses in the disturbances related to DFIG. Extensive numerical simulations were performed under MATALB/Simulink, where the proposed fuzzy twelve direct torque control (F12-DTC) was compared with conventional nonlinear controls: conventional DTC (C-DTC) and 12-DTC. The simulation results demonstrated clearly that the proposed one had the highest performance and robustness, with a significant reduction in rotor flux and electromagnetic torque ripples and better-generated power quality with low currents’ THD over the conventional strategies (C-DTC and 12-DTC). |
| Databáze: | OpenAIRE |
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