Design of a High-Performance Control Scheme for a Grid-Connected DFIG‐Based Wind Energy Conversion System Using Model Predictive Control and Hysteresis Model

IF 0.9 4区工程技术 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC

Elektronika Ir Elektrotechnika Pub Date : 2023-12-13 DOI:10.5755/j02.eie.34722

Hamed Kamel Eddine Zine, Abed Khoudir

引用次数: 0

Abstract

In this paper, we present a novel design and development of wind energy conversion systems (WECS) for a doubly-fed induction generator (DFIG). A hysteresis current control is used to improve the DC bus for rectifier and smart current control by model predictive of three-level-NPC (3L-NPC) inverter. The advantages of this intelligent method are such as fast dynamic answers and the easy implementation of nonlinearities, and that it requires fewer calculations to choose the best switching state. In addition, an innovative algorithm is proposed to adjust the current ripples and output voltage harmonics of the wind energy conversion system. The performance of the system was analysed by simulation using MATLAB/Simulink.

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利用模型预测控制和滞后模型为基于并网双馈变流器的风能转换系统设计高性能控制方案

本文针对双馈感应发电机（DFIG）提出了一种新型风能转换系统（WECS）的设计和开发方法。采用磁滞电流控制来改善整流器的直流母线，并通过三电平-NPC（3L-NPC）逆变器的模型预测来实现智能电流控制。这种智能方法的优点是动态响应速度快，易于实现非线性特性，而且选择最佳开关状态所需的计算量较少。此外，还提出了一种创新算法来调节风能转换系统的电流纹波和输出电压谐波。使用 MATLAB/Simulink 对系统性能进行了仿真分析。

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

Elektronika Ir Elektrotechnika 工程技术-工程：电子与电气

CiteScore

2.40

自引率

7.70%

发文量

审稿时长

24 months

期刊介绍： The journal aims to attract original research papers on featuring practical developments in the field of electronics and electrical engineering. The journal seeks to publish research progress in the field of electronics and electrical engineering with an emphasis on the applied rather than the theoretical in as much detail as possible. The journal publishes regular papers dealing with the following areas, but not limited to: Electronics; Electronic Measurements; Signal Technology; Microelectronics; High Frequency Technology, Microwaves. Electrical Engineering; Renewable Energy; Automation, Robotics; Telecommunications Engineering.