Direct vector command based on three-level NSVM of a doubly fed induction generator for wind energy conversion
Direct vector command based on three-level NSVM of a doubly fed induction generator for wind energy conversion
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基于三电平NSVM的风能双馈感应发电机直接矢量指令
DOI：
10.1109/icass.2018.8651957
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
A. Belaidi
中科院分区：
文献类型：
--
作者：
H. Benbouhenni;Z. Boudjema;A. Belaidi
提出了一种基于人工神经网络的新型三电平空间矢量调制（SVM）的双馈感应发电机（DFIG）风力发电系统。传统的直接矢量控制（DVC）采用PI控制器，存在较大的定子无功和有功纹波。为了确保DVC技术的双馈发电机转子侧变换器的鲁棒性，并减少电磁转矩，电流，无功和有功纹波，基于NSVM逆变器的DVC在这项工作中使用。仿真结果表明，所提出的控制技术的效率，特别是对所提供的电源的质量相比，DVC与脉冲宽度调制逆变器。
This research work presents a new three-level space vector modulation (SVM) based on artificial neural networks (ANNs) of a doubly fed induction generator (DFIG) integrated into a wind energy conversion system (WECS) is presented. The traditional direct vector control (DVC) using PI controller presents considerable stator reactive and active ripples. In order to ensure a robust DVC technique for the DFIG-rotor side converter and reduces electromagnetic torque, current, reactive and active ripples, a DVC based on NSVM inverter is used in this work. Simulation results show the efficiency of the proposed technique of control especially on the quality of the provided power comparatively to a DVC with pulse width modulation inverter.