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使用新型控制器控制单转子大型风力涡轮机系统的能量。

Controlling the energies of the single-rotor large wind turbine system using a new controller.

作者信息

Benbouhenni Habib, Bizon Nicu, Colak Ilhami, Elbarbary Z M S, Al-Gahtani Saad F

机构信息

Department of Electrical Engineering, LAAS laboratory, National Polytechnic School of Oran- Maurice Audin, Oran El M'naouer, 1523, BP, Algeria.

The National University of Science and Technology POLITEHNICA Bucharest, Pitești University Centre, Pitesti, 110040, Romania.

出版信息

Sci Rep. 2025 Jan 25;15(1):3191. doi: 10.1038/s41598-025-87832-9.

DOI:10.1038/s41598-025-87832-9
PMID:39863711
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11762323/
Abstract

In wind energy generation systems, ensuring high energy quality is critical but is often compromised due to the limited performance and durability of conventional regulators. To address this, this work presents a novel controller for managing the machine-side inverter of a single-rotor large wind turbine system using an induction machine-type generator. The proposed controller is designed using proportional, integral, and derivative error-based mechanisms, which fundamentally differ from traditional proportional-integral (PI) regulators. Key features of the proposed regulator include its simplicity, cost-effectiveness, ease of implementation, reduced number of gains, and rapid dynamic response.This regulator enhances the direct power control (DPC) approach, as it integrates two tailored controllers alongside a pulse width modulation strategy to manage the machine inverter. The DPC strategy incorporating the proposed controller was implemented and tested using MATLAB, with various simulations to evaluate its performance and effectiveness. The proposed regulator demonstrated a significant improvement over the PI regulator, with reductions in active power ripples of 69%, 61.70%, and 59.14% across different tests. Additionally, the steady-state error of reactive power was reduced by 54.84%, 85.23%, and 62.68%, and the total harmonic distortion of current decreased by 48.12%, 50.55%, and 56.05%. These results underscore the high efficiency, robustness, and effectiveness of the proposed controller in improving system performance compared to conventional PI regulators. The controller's outstanding performance makes it a promising solution for broader industrial applications.

摘要

在风能发电系统中,确保高能量质量至关重要,但由于传统调节器的性能和耐用性有限,这一目标常常受到影响。为解决这一问题,本文提出了一种新型控制器,用于管理采用感应电机式发电机的单转子大型风力涡轮机系统的机侧逆变器。所提出的控制器是基于比例、积分和微分误差机制设计的,这与传统的比例积分(PI)调节器有根本区别。所提出调节器的关键特性包括其简单性、成本效益、易于实现、增益数量减少以及快速的动态响应。该调节器增强了直接功率控制(DPC)方法,因为它集成了两个定制控制器以及一种脉宽调制策略来管理电机逆变器。采用MATLAB实现并测试了包含所提出控制器的DPC策略,并进行了各种仿真以评估其性能和有效性。所提出的调节器相对于PI调节器有显著改进,在不同测试中,有功功率纹波分别降低了69%、61.70%和59.14%。此外,无功功率的稳态误差分别降低了54.84%、85.23%和62.68%,电流总谐波失真分别降低了48.12%、50.55%和56.05%。这些结果强调了与传统PI调节器相比,所提出的控制器在提高系统性能方面具有高效率、鲁棒性和有效性。该控制器的出色性能使其成为更广泛工业应用的一个有前景的解决方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4057/11762323/442dd35b83a6/41598_2025_87832_Fig11a_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4057/11762323/ee554155ffd9/41598_2025_87832_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4057/11762323/309a77beefbc/41598_2025_87832_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4057/11762323/d8f7d60f003d/41598_2025_87832_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4057/11762323/1a19788e74b7/41598_2025_87832_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4057/11762323/0f8117a04016/41598_2025_87832_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4057/11762323/e35d6ee5b24b/41598_2025_87832_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4057/11762323/e45313c3afce/41598_2025_87832_Fig7a_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4057/11762323/2f1bec6a2510/41598_2025_87832_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4057/11762323/1cc191cbc135/41598_2025_87832_Fig9a_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4057/11762323/f1e121be3bcd/41598_2025_87832_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4057/11762323/442dd35b83a6/41598_2025_87832_Fig11a_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4057/11762323/ee554155ffd9/41598_2025_87832_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4057/11762323/309a77beefbc/41598_2025_87832_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4057/11762323/d8f7d60f003d/41598_2025_87832_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4057/11762323/1a19788e74b7/41598_2025_87832_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4057/11762323/0f8117a04016/41598_2025_87832_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4057/11762323/e35d6ee5b24b/41598_2025_87832_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4057/11762323/e45313c3afce/41598_2025_87832_Fig7a_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4057/11762323/2f1bec6a2510/41598_2025_87832_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4057/11762323/1cc191cbc135/41598_2025_87832_Fig9a_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4057/11762323/f1e121be3bcd/41598_2025_87832_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4057/11762323/442dd35b83a6/41598_2025_87832_Fig11a_HTML.jpg

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Design and development of PI controller for DFIG grid integration using neural tuning method ensembled with dense plexus terminals.基于密集神经丛终端集成的神经调节方法用于双馈感应发电机(DFIG)并网的PI控制器设计与开发
Sci Rep. 2024 Apr 4;14(1):7916. doi: 10.1038/s41598-024-56904-7.
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Low-voltage ride-through capability in a DFIG using FO-PID and RCO techniques under symmetrical and asymmetrical faults.
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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
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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
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