Benbouhenni Habib, Yessef Mourad, Jbarah Almakki Ali Nadhim, Colak Ilhami, Bizon Nicu, Elbarbary Z M S, Bossoufi Badre, Alammer Mohammed M
Ecole Nationale Polytechnique d'Oran Maurice AUDIN, Laboratoire LAAS, Bp 1523 El M'Naouer, Oran, Algeria.
LIMAS Laboratory, Faculty of Sciences, Sidi Mohamed Ben Abdallah University, 30000, Fes, Morocco.
Sci Rep. 2025 Apr 15;15(1):12983. doi: 10.1038/s41598-025-94112-z.
Ripples in energy and current are two of the main issues with direct power control, as these fluctuations cause numerous drawbacks in the wind energy system. However, the conventional approach's many benefits make it one of the most popular approaches in the wind power industry due to its simplicity, ease of use, and ease of realization. In this paper, a neural-modified sliding mode approach has been proposed to control the power of a double-powered induction generator-based multi-rotor wind turbine system. The designed control is described as highly robust and has outstanding competence. MATLAB and experimental work were used to verify this performance compared to the usual approach. The outcomes demonstrated the efficiency of the designed approach in getting a better quality of generated power and supplied currents compared to the conventional approach. The suggested approach minimized the overshoot value by ratios estimated at 99.82% and 97.26% for both reactive and active power, respectively. Also, the value of current harmonic distortion was minimized by 48.80%, 46.35%, and 61.29% in all tests performed compared to the classical approach. The designed approach reduced the value of active power ripples by ratios of approximately 81.35%, 85.20%, and 84.04% in all tests. Empirical results using hardware-in-loop simulation based on dSPACE 1104 confirm the high competence and ability of the designed approach to significantly improve the quality of energy and current, allowing it to be relied upon in the future as a solution in the area of control.
能量和电流波动是直接功率控制的两个主要问题，因为这些波动会给风能系统带来诸多弊端。然而，传统方法因其简单、易用且易于实现等诸多优点，成为风力发电行业最受欢迎的方法之一。本文提出了一种神经修正滑模方法，用于控制基于双馈感应发电机的多旋翼风力发电机组系统的功率。所设计的控制器具有高度鲁棒性和卓越性能。与常规方法相比，利用MATLAB和实验工作对该性能进行了验证。结果表明，与传统方法相比，所设计的方法在获得更高质量的发电功率和供电电流方面具有有效性。所建议的方法将无功功率和有功功率的超调量分别按99.82%和97.26%的比例降至最低。此外，与经典方法相比，在所有测试中，电流谐波失真值分别降低了48.80%、46.35%和61.29%。在所有测试中，所设计的方法将有功功率波动值分别按约81.35%、85.20%和84.04%的比例降低。基于dSPACE 1104的硬件在环仿真的实证结果证实了所设计方法的卓越性能和显著提高能量和电流质量的能力，使其在未来可作为控制领域的一种解决方案加以依赖。
