Echiheb Farah, Ihedrane Yasmine, Bossoufi Badre, Bouderbala Manale, Motahhir Saad, Masud Mehedi, Aljahdali Sultan, ElGhamrasni Madiha
LIMAS Laboratory, Faculty of Sciences Dhar El Mahraz, Sidi Mohammed Ben Abdellah University, Fez, Morocco.
Engineering, Systems, and Applications Laboratory, ENSA, SMBA University, Fez, Morocco.
Sci Rep. 2022 Jul 12;12(1):11782. doi: 10.1038/s41598-022-15960-7.
This paper presents a new contribution in the field of the optimization of the techniques of control of the wind systems and the improvement of the quality of energy produced in the grid. The Sliding Mode control technique gives quite interesting results, but its major drawback lies in the phenomenon of chattering (oscillations), which reduces the system's precision. We propose in this work a solution to cancel this chattering phenomenon by the implication of the adaptive Backstepping technique to control the powers of the double-fed asynchronous generator (DFIG) connected to the electrical network by two converters (network side and side machine) in the nominal part of the sliding mode model. This hybrid technique will correct errors of precision and stability and the performance of the wind system obtained in terms of efficiency, active and reactive power is significant. First, a review of the wind system was presented. Then, an exhaustive explanation of the Backstepping technique based on the Lyapunov stability and optimization method has been reported. Subsequently, a validation on the Matlab & Simulink environment was carried out to test the performance and robustness of the proposed model. The results obtained from this work, either by follow-up or robustness tests, show a significant performance improvement compared to other control techniques.
本文在风力系统控制技术优化及提高电网中所产生电能质量领域做出了新贡献。滑模控制技术给出了颇为有趣的结果，但其主要缺点在于颤振（振荡）现象，这降低了系统精度。在这项工作中，我们提出一种解决方案，通过引入自适应反步控制技术来消除这种颤振现象，该技术用于在滑模模型的标称部分控制通过两个变流器（电网侧和电机侧）连接到电网的双馈异步发电机（DFIG）的功率。这种混合技术将校正精度和稳定性方面的误差，并且在效率、有功和无功功率方面所获得的风力系统性能显著。首先，对风力系统进行了综述。然后，基于李雅普诺夫稳定性和优化方法对反步控制技术进行了详尽解释。随后，在Matlab & Simulink环境下进行了验证，以测试所提模型的性能和鲁棒性。通过跟踪或鲁棒性测试从这项工作中获得的结果表明，与其他控制技术相比，性能有显著提升。
