阿尔及利亚Adrar实际风况下稳定风能转换系统的变滑动增益模式控制的PS和GW优化

IF 1.4 4区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY International Journal of Nonlinear Sciences and Numerical Simulation Pub Date : 2022-10-11 DOI:10.1515/ijnsns-2022-0237
F. Bekraoui, A. Harrouz, Khayra Roummani, I. Boussaid, Amina Bekraoui
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引用次数: 4

摘要

摘要针对永磁同步发电机直接驱动的风能转换系统,设计了滑模控制器。本工作的目标是直接控制定子和正交轴电流,以减少抖振现象。为了实现这一目标,我们采用了粒子群算法(PSO)和灰狼算法(GWO)两种数值方法来获得控制器的增益参数。在Adrar地区(阿尔及利亚南部)的实际风速下,对所推荐的方法进行了系统鲁棒性和响应性分析,并在MATLAB/Simulink工具下对仿真结果进行了测试。主要结果表明,粒子群算法的有效性和性能优于粒子群算法。
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PS and GW optimization of variable sliding gains mode control to stabilize a wind energy conversion system under the real wind in Adrar, Algeria
Abstract In this paper, a sliding mode controller is implemented to a permanent synchronous generator direct driven wind energy conversion system. The goal of this proposed work is to control the stator directly and quadrature axis currents to minimize the chattering phenomenon. To achieve this goal, we use two numerical techniques which are PSO (particle swarm optimization) and GWO (grey wolf optimization) algorithms to obtain gains parameters of the controller. The analysis of the recommended approach robustness and responsiveness of the system has been carried out under the real wind speed of the Adrar region (south of Algeria) and simulation results are tested under MATLAB/Simulink tool. The main result shows the effectiveness and the better performance of the PSO compared to the GWO.
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来源期刊
CiteScore
2.80
自引率
6.70%
发文量
117
审稿时长
13.7 months
期刊介绍: The International Journal of Nonlinear Sciences and Numerical Simulation publishes original papers on all subjects relevant to nonlinear sciences and numerical simulation. The journal is directed at Researchers in Nonlinear Sciences, Engineers, and Computational Scientists, Economists, and others, who either study the nature of nonlinear problems or conduct numerical simulations of nonlinear problems.
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