各种经典和智能MPPT跟踪技术在光伏发电系统中的应用

Salaheddine Zouirech, Mohammed Zerouali, Hayat Elaissaoui, Abdelghani El Ougli, B. Tidhaf
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引用次数: 6

摘要

本文尝试对六种类型的MPPT技术进行研究和讨论。从光伏电源中提取最大功率的技术是最大功率点跟踪算法(MPPT)的目标任务。本文研究和回顾了最常用的MPPT命令:摄动和观察、电导增量、开路电压(OCV)、短路电流(SCC)、基于模糊逻辑“LF”和人工神经网络的控制。利用Matlab Simulink环境对MPPT系统进行建模,对其仿真结果进行分析和解释,从而显示其良好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Various Classical and Intelligent MPPT Tracking Techniques for the Production of Energy through a Photovoltaic System
This work is an attempt to study and discuss six types of MPPT techniques. Techniques allowing to extract the maximum power from the PV source is the aim task of the maximum power point tracking algorithms called MPPT. In this paper most popular MPPT commands are studied and reviewed: Perturb and observe, Increment of the conductance, Open Circuit Voltage(OCV), Short Circuit Current (SCC), control based on fuzzy logic ‘LF’ and Artificial Neural Network ANN. Matlab Simulink environment is used to model the MPPT system, to analyze and interpret their simulation results, and therefore show their good behavior.
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