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用于多旋翼变速风力发电机组系统功率优化的遗传算法增强型PI控制器的实验分析

Experimental analysis of genetic algorithm-enhanced PI controller for power optimization in multi-rotor variable-speed wind turbine systems.

作者信息

Benbouhenni Habib, Bizon Nicu, Yessef Mourad, Elbarbary Z M S, Colak Ilhami, Bossoufi Badre, Al Ayidh Abdulrahmane

机构信息

Laboratoire LAAS, Ecole Nationale Polytechnique d'Oran, Bp 1523, EL M'naouer, Algeria.

University POLITEHNICA Bucharest, Pitesti University Centre, 110040, Pitesti, Romania.

出版信息

Sci Rep. 2025 Jan 9;15(1):1407. doi: 10.1038/s41598-024-81281-6.

DOI:10.1038/s41598-024-81281-6
PMID:39789013
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11718285/
Abstract

The direct power control (DPC) algorithm is one of the most popular linear techniques used to implement notable controllers, known for their simplicity and fast dynamic response. However, this approach has drawbacks that cause a decrease in the current quality and disturbances in the network. Therefore, this experimental work presents a simple and efficient solution that uses a proportional-integral regulator based on a genetic algorithm to regulate the power quality. The designed approach uses a pulse width modulation to produce control pulses for the operation of the rotor inverter of a doubly-fed induction generator-based multi-rotor wind system. This approach is first verified in MATLAB using a 1500 kW generator operating under different working conditions. Furthermore, the processor-in-the-loop (PIL) test using dSPACE 1104 is used to verify the efficacy and ability of the designed approach in enhancing the effectiveness of the power system under study. The results obtained in all tests demonstrate that compared to DPC, the designed approach reduces active power ripples with estimated percentages of 71.42%, 66.67%, and 70%, and the reactive power overshoot value is reduced with estimated percentages of 92.85%, 56.48%, and 79.21%. In addition, the experimental results (using the PIL test) confirm the ability of the designed control algorithm to enhance the energy and current quality, which makes this designed technique a suitable solution in the field of control.

摘要

直接功率控制(DPC)算法是用于实现显著控制器的最流行的线性技术之一,以其简单性和快速动态响应而闻名。然而,这种方法存在缺点,会导致电流质量下降和网络中的干扰。因此,这项实验工作提出了一种简单有效的解决方案,即使用基于遗传算法的比例积分调节器来调节电能质量。所设计的方法使用脉宽调制来产生控制脉冲,用于基于双馈感应发电机的多转子风力系统的转子逆变器运行。该方法首先在MATLAB中使用一台在不同工作条件下运行的1500千瓦发电机进行了验证。此外,使用dSPACE 1104进行的处理器在环(PIL)测试用于验证所设计方法在提高所研究电力系统有效性方面的功效和能力。在所有测试中获得的结果表明,与DPC相比,所设计的方法将有功功率纹波降低了估计的71.42%、66.67%和70%,无功功率过冲值降低了估计的92.85%、56.48%和79.21%。此外,实验结果(使用PIL测试)证实了所设计的控制算法提高能量和电流质量的能力,这使得这种设计技术成为控制领域中的一种合适解决方案。

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本文引用的文献

1
Synergetic-PI controller based on genetic algorithm for DPC-PWM strategy of a multi-rotor wind power system.基于遗传算法的协同比例积分控制器在多旋翼风力发电系统直接功率控制脉宽调制策略中的应用
Sci Rep. 2023 Aug 21;13(1):13570. doi: 10.1038/s41598-023-40870-7.
2
Improved Performance for PMSM Sensorless Control Based on Robust-Type Controller, ESO-Type Observer, Multiple Neural Networks, and RL-TD3 Agent.基于鲁棒型控制器、扩张状态观测器、多个神经网络和强化学习TD3智能体的永磁同步电机无传感器控制性能提升
Sensors (Basel). 2023 Jun 21;23(13):5799. doi: 10.3390/s23135799.
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Robust sliding-Backstepping mode control of a wind system based on the DFIG generator.
基于双馈感应发电机的风力系统鲁棒滑模反步控制
Sci Rep. 2022 Jul 12;12(1):11782. doi: 10.1038/s41598-022-15960-7.
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An intelligent Hybrid Wind-PV farm as a static compensator for overall stability and control of multimachine power system.一种智能混合风力-光伏电站作为多机电力系统整体稳定性和控制的静止补偿器。
ISA Trans. 2022 Apr;123:286-302. doi: 10.1016/j.isatra.2021.05.014. Epub 2021 May 17.
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Power system stability enhancement by damping and control of Sub-synchronous torsional oscillations using Whale optimization algorithm based Type-2 wind turbines.基于鲸鱼优化算法的2型风力发电机组通过抑制和控制次同步扭转振荡增强电力系统稳定性
ISA Trans. 2021 Feb;108:240-256. doi: 10.1016/j.isatra.2020.08.037. Epub 2020 Aug 26.