Improved Backstepping Control of a DFIG based Wind Energy Conversion System using Ant Lion Optimizer Algorithm

Q3 Computer Science

Periodica polytechnica Electrical engineering and computer science Pub Date : 2021-12-13 DOI:10.3311/ppee.18716

Z. Zeghdi, L. Barazane, Y. Bekakra, A. Larabi

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引用次数: 9

Abstract

In this paper, an improved Backstepping control based on a recent optimization method called Ant Lion Optimizer (ALO) algorithm for a Doubly Fed Induction Generator (DFIG) driven by a wind turbine is designed and presented. ALO algorithm is applied for obtaining optimum Backstepping control (BCS) parameters that are able to make the drive more robust with a faster dynamic response, higher accuracy and steady performance. The fitness function of the ALO algorithm to be minimized is designed using some indexes criterion like Integral Time Absolute Error (ITAE) and Integral Time Square Error (ITSE). Simulation tests are carried out in MATLAB/Simulink environment to validate the effectiveness of the proposed BCS-ALO and compared to the conventional BCS control. The results prove that the objectives of this paper were accomplished in terms of robustness, better dynamic efficiency, reduced harmonic distortion, minimization of stator powers ripples and performing well in solving the problem of uncertainty of the model parameter.

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基于蚁狮优化算法的DFIG风能转换系统改进反演控制

针对风力发电双馈感应发电机(DFIG)，在蚁狮优化算法(Ant Lion Optimizer, ALO)的基础上设计并提出了一种改进的反步控制方法。采用ALO算法求出最佳反步控制(BCS)参数，使驱动器具有更快的动态响应、更高的精度和稳定的性能，具有更强的鲁棒性。利用积分时间绝对误差(ITAE)和积分时间平方误差(ITSE)等指标准则设计了最小化算法的适应度函数。在MATLAB/Simulink环境下进行了仿真试验，验证了所提出的BCS- alo控制的有效性，并与传统的BCS控制进行了比较。结果表明，该方法具有鲁棒性好、动态效率高、谐波失真小、定子功率波动小等特点，并能较好地解决模型参数的不确定性问题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Periodica polytechnica Electrical engineering and computer science Engineering-Electrical and Electronic Engineering

CiteScore

2.60

自引率

0.00%

发文量

期刊介绍： The main scope of the journal is to publish original research articles in the wide field of electrical engineering and informatics fitting into one of the following five Sections of the Journal: (i) Communication systems, networks and technology, (ii) Computer science and information theory, (iii) Control, signal processing and signal analysis, medical applications, (iv) Components, Microelectronics and Material Sciences, (v) Power engineering and mechatronics, (vi) Mobile Software, Internet of Things and Wearable Devices, (vii) Solid-state lighting and (viii) Vehicular Technology (land, airborne, and maritime mobile services; automotive, radar systems; antennas and radio wave propagation).