Benbouhenni Habib, Colak Ilhami, Bizon Nicu, Mosaad Mohamed I, Tella Teshome Goa
Faculty of Engineering and Architecture, Department of Electrical and Electronics Engineering, Nisantasi University, 34481742, Istanbul, Turkey.
Faculty of Engineering and Natural Science, Department of Electrical and Electronics Engineering, Istinye University, Istanbul, Turkey.
Sci Rep. 2024 Jul 16;14(1):16415. doi: 10.1038/s41598-024-67194-4.
Power quality is a crucial determinant for integrating wind energy into the electrical grid. This integration necessitates compliance with certain standards and levels. This study presents cascadedfuzzy power control (CFPC) for a variable-speed multi-rotor wind turbine (MRWT) system. Fuzzy logic is a type of smart control system already recognized for its robustness, making it highly suited and reliable for generating electrical energy from the wind. Therefore, the CFPC technique is proposed in this work to control the doubly-fed induction generator (DFIG)-based MRWT system. This proposed strategy is applied to the rotor side converter of a DFIG to improve the current/power quality. The proposed control has the advantage of being model-independent, as it relies on empirical knowledge rather than the specific characteristics of the DFIG or turbine. Moreover, the proposed control system is characterized by its simplicity, high performance, robustness, and ease of application. The implementation of CFPC management for 1.5 MW DFIG-MRWT was carried out in MATLAB environment considering a variable wind speed. The obtained results were compared with the direct power control (DPC) technique based on proportional-integral (PI) controllers (DPC-PI), highlighting that the CFPC technique reduced total harmonic distortion by high ratios in the three tests performed (25%, 30.18%, and 47.22%). The proposed CFPC technique reduced the response time of reactive power in all tests by ratios estimated at 83.76%, 65.02%, and 91.42% compared to the DPC-PI strategy. Also, the active power ripples were reduced by satisfactory proportions (37.50%, 32.20%, and 38.46%) compared to the DPC-PI strategy. The steady-state error value of reactive power in the tests was low when using the CFPC technique by 86.60%, 57.33%, and 72.26%, which indicates the effectiveness and efficiency of the proposed CFPC technique in improving the characteristics of the system. Thus this control can be relied upon in the future.
电能质量是将风能并入电网的关键决定因素。这种并入需要符合特定的标准和水平。本研究提出了一种用于变速多旋翼风力发电机组（MRWT）系统的级联模糊功率控制（CFPC）方法。模糊逻辑是一种因其鲁棒性已得到认可的智能控制系统类型，这使其非常适合且可靠地用于风力发电。因此，本工作提出了CFPC技术来控制基于双馈感应发电机（DFIG）的MRWT系统。该提出的策略应用于DFIG的转子侧变流器，以改善电流/电能质量。所提出的控制具有与模型无关的优点，因为它依赖经验知识而非DFIG或涡轮机的特定特性。此外，所提出的控制系统具有简单、高性能、鲁棒性和易于应用的特点。考虑到风速变化，在MATLAB环境中对1.5MW DFIG - MRWT进行了CFPC管理的实现。将获得的结果与基于比例积分（PI）控制器的直接功率控制（DPC）技术（DPC - PI）进行了比较，突出显示CFPC技术在进行的三次测试中（25%、30.18%和47.22%）以高比例降低了总谐波失真。与DPC - PI策略相比，所提出的CFPC技术在所有测试中分别以估计为83.76%、65.02%和91.42%的比例降低了无功功率的响应时间。此外，与DPC - PI策略相比，有功功率纹波也以令人满意的比例（37.50%、32.20%和38.46%）降低。在测试中使用CFPC技术时，无功功率的稳态误差值较低，分别为86.60%、57.33%和72.26%，这表明所提出的CFPC技术在改善系统特性方面的有效性和效率。因此，这种控制在未来是可以信赖的。
