Doubabi Hajar, Salhi Issam, Chennani Mohammed, Essounbouli Najib
Cadi Ayyad University, BP 549, Av Abdelkarim Elkhattabi, Gueliz, Marrakesh, Morocco; CReSTIC, Reims University, 9 rue de Québec B.P 396, F-10026, Troyes cedex, France.
Cadi Ayyad University, BP 549, Av Abdelkarim Elkhattabi, Gueliz, Marrakesh, Morocco.
ISA Trans. 2021 Dec;118:247-259. doi: 10.1016/j.isatra.2021.02.004. Epub 2021 Feb 8.
With the recent focus marked on energy efficiency and solar energy development, much research is being dedicated to the development of enhanced maximum power point tracking (MPPT) algorithms for photovoltaic applications. However, the main criteria with regard to tracking performances and circuit implementation are still considered as a major challenge under rapid varying weather conditions. In this paper, a T-S Fuzzy-integral backstepping-based hybrid MPPT technique is proposed for rapid, accurate and efficient tracking. The proposed technique enables reliable and stable operation under fast dynamic environmental changes. Besides, it is simple as it does not require extra atmospheric sensors. The theoretical analysis addressed in this study is verified through simulations via Matlab/Simulink and experimental outdoor tests. A comparison with different other MPPT techniques is provided to highlight the performances of the developed MPPT method.
随着近期对能源效率和太阳能开发的高度关注，许多研究致力于开发用于光伏应用的增强型最大功率点跟踪（MPPT）算法。然而，在快速变化的天气条件下，关于跟踪性能和电路实现的主要标准仍被视为一项重大挑战。本文提出了一种基于T-S模糊积分反步法的混合MPPT技术，用于快速、准确和高效的跟踪。所提出的技术能够在快速动态环境变化下实现可靠且稳定的运行。此外，它很简单，因为不需要额外的大气传感器。本研究中的理论分析通过Matlab/Simulink仿真和户外实验测试得到验证。通过与其他不同的MPPT技术进行比较，突出了所开发的MPPT方法的性能。
