风力发电机的神经网络MPPT方法

2017 6th International Conference on Systems and Control (ICSC) Pub Date : 2017-05-01 DOI:10.1109/ICOSC.2017.7958689

S. Ladjouzi, S. Grouni, Mustapha Djebiri, Y. Soufi

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引用次数: 3

摘要

提出了一种基于人工神经网络(ANN)的最大功率点跟踪方法。提出的MPPT策略采用人工神经网络作为控制器，在变速情况下提供最优的风能获取。根据建立最优情况下风力机模型的不同方程所获得的数据占有情况进行人工神经网络训练。通过对某风力发电系统的仿真验证了该方法的有效性。

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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A neural MPPT approach for a wind turbine

This paper focuses on a proposed Maximum Power Point Tracking (MPPT) methodology based on artificial neural network (ANN) scheme. The proposed MPPT strategy uses an ANN as a controller that provides optimum wind-energy acquisition in variable speed case. The ANN training is done according to the data possession obtained by the different equations establishing the model of the wind turbine in the optimal case. The effectiveness of the proposed approach is verified by simulation on a wind turbine system.

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2017 6th International Conference on Systems and Control (ICSC)

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