人工神经网络算法在自主光伏最大功率控制优化中的比较

2020 4th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2020-12-15 DOI:10.1109/IC_ASET49463.2020.9318275

Troudi Fathi, Jouini Houda, A. Mami

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引用次数: 2

摘要

本文比较了几种从光伏发电机中提取最大功率的MPPT技术。本文提出了三种MPPT控制算法，特别是基于ANN神经网络的MPPT控制算法、Vco分数的FVCO方法和Icc分数的FCC方法。在MATLAB-SIMULINK环境下进行了仿真，仿真结果令人满意，从而可以在预期的日照条件下选择最合适的工艺。

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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Comparative between ANN algorithms in optimizing MPPT control autonomous photovoltaic

This article compares several MPPT technologies to extract maximum power from photovoltaic generators. Three MPPT control algorithms have been developed, in particular the MPPT algorithm based on the ANN neural network, the FVCO method of Vco fraction and the FCC method of Icc fraction. The simulation was performed in the MATLAB-SIMULINK environment, and the simulation results are promising, so that the most suitable technology can be selected under the expected sunlight conditions.

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2020 4th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)

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