为带有 SEPIC 转换器的光伏水泵系统应用基于 ANFIS 的 MPPT 的两种不同方法

IF 1.204 Q3 Energy
S. Miqoi, B. Tidhaf, A. El Ougli
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引用次数: 0

摘要

摘要 这项工作的主要目的是提高光伏水泵系统的性能,以满足农村地区的用水需求。为此,必须确保光伏阵列在任何时候都能产生最大功率,而这可能会受到外部条件(主要是温度和辐照度)的影响。因此,我们以两种方式采用基于自适应神经模糊推理系统的 MPPT。ANFIS 控制器使用人工神经网络从训练数据中学习,并根据这些数据生成模糊规则,因此被认为更精确、更高效。ANFIS 的两种方法都用于控制 SEPIC 转换器的占空比,该转换器将光伏板与为水泵供电的直流电机连接起来。在 MATLAB/Simulink 下设计并模拟了由光伏板、SEPIC 转换器、控制器和直流电机组成的系统。在各种气象条件下测试了拟议方法的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Two Different Approaches of Applying ANFIS Based MPPT for a PV Water Pumping System with a SEPIC Converter

Two Different Approaches of Applying ANFIS Based MPPT for a PV Water Pumping System with a SEPIC Converter

Two Different Approaches of Applying ANFIS Based MPPT for a PV Water Pumping System with a SEPIC Converter

The main objective of this work is to enhance the performance of the Photovoltaic water pumping system to cover the water requirement in rural areas. To do so, it is important to make sure that the PV array produces its maximum power at all times, which can be influenced by external condition (mainly the temperature and irradiation). Hence, we are employing the Adaptive Neuro-Fuzzy Inference System based MPPT in two ways. The ANFIS controller is considered more accurate and efficient as it uses an artificial neural network to learn from training data and generate fuzzy rules based on that data. Both approaches of ANFIS are used to control the duty cycle of the SEPIC converter, which connects the PV panel to the DC motor feeding the water pump. The system combining the PV panel, the SEPIC converter, the controller and the DC motor, is designed and simulated under MATLAB/Simulink. The performance of the proposed methods is tested under various meteorological conditions.

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来源期刊
Applied Solar Energy
Applied Solar Energy Energy-Renewable Energy, Sustainability and the Environment
CiteScore
2.50
自引率
0.00%
发文量
0
期刊介绍: Applied Solar Energy  is an international peer reviewed journal covers various topics of research and development studies on solar energy conversion and use: photovoltaics, thermophotovoltaics, water heaters, passive solar heating systems, drying of agricultural production, water desalination, solar radiation condensers, operation of Big Solar Oven, combined use of solar energy and traditional energy sources, new semiconductors for solar cells and thermophotovoltaic system photocells, engines for autonomous solar stations.
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