Rekioua D, Mezzai N, Mokrani Z, Oubelaid A, Kakouche K, Logerais P O, Alshareef Muhannad, Bajaj Mohit, Tuka Milkias Berhanu, Ghoneim Sherif S M
Université de Bejaia, Faculté de Technologie, Laboratoire de Technologie Industrielle et de l'Information, Bejaia, 06000, Algeria.
Univ Paris Est Créteil, CERTES, IUT de Sénart-Fontainebleau, Lieusaint, F-77567, France.
Sci Rep. 2024 Dec 3;14(1):30013. doi: 10.1038/s41598-024-78847-9.
This research paper discusses a wind turbine system and its integration in remote locations using a hybrid power optimization approach and a hybrid storage system. Wind turbine systems' optimization controllers operate MPPT strategies efficiently, optimizing the system's overall performance. The proposed approach is HTb(P&O/FLC), which combines the P&O and FLC methods. This innovative hybrid MPPT strategy takes advantage of the two methods. It maximizes the wind power thus minimizing stress on the storage system. For storage, batteries are important in isolated renewable energy systems due the interminent renewable sources. Unfortunately, they have some drawbacks as lower energy density, and limited charge-discharge. Besides, supercapacitors (SCs) have advantages as quick charging and discharging and long cycle life and some drawbacks as lower energy density and specific voltage requirements. This paper proposes a hybrid storage system combining batteries and SCs. To manage the two storage technologies, an effective algorithm isproposed focusing on managing their storage systems. The findings indicate that the proposed strategy effectively maintains the state of charge (SOC) of both the batteries and SCs in the intended limits. Simulation under MATLAB and Real-time with RT-LAB were carried out to validate the proposed control approach for the wind turbine system.
本研究论文讨论了一种风力涡轮机系统及其使用混合功率优化方法和混合存储系统在偏远地区的集成。风力涡轮机系统的优化控制器有效地运行最大功率点跟踪（MPPT）策略，优化系统的整体性能。所提出的方法是HTb（P&O/FLC），它结合了P&O和FLC方法。这种创新的混合MPPT策略利用了这两种方法的优势。它使风能最大化，从而使存储系统的压力最小化。对于存储而言，由于可再生能源的间歇性，电池在孤立的可再生能源系统中很重要。不幸的是，它们有一些缺点，如能量密度较低和充放电受限。此外，超级电容器（SCs）具有快速充放电和长循环寿命的优点，但也有能量密度较低和特定电压要求等缺点。本文提出了一种结合电池和超级电容器的混合存储系统。为了管理这两种存储技术，提出了一种有效的算法，重点是管理它们的存储系统。研究结果表明，所提出的策略有效地将电池和超级电容器的荷电状态（SOC）维持在预期范围内。在MATLAB下进行了仿真，并使用RT-LAB进行了实时仿真，以验证所提出的风力涡轮机系统控制方法。
