Evaluation of Maximum Power Point Tracking Techniques in PV Systems Using MATLAB/Simulink

Moein Jazayeri, S. Uysal, K. Jazayeri
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引用次数: 32

Abstract

This paper mainly focuses on the performance evaluation of "Perturb&Observe" and "Incremental Conductance" algorithms as the most commonly utilized two Maximum Power Point Tracking (MPPT) techniques for photovoltaic systems. Matlab/SIMULINK platform is used to model and simulate the entire system. The simulation model of a PV module is constructed based on the one-diode mathematical model of a solar cell and the model is validated using the manufacturer's datasheet parameters for a commercially available PV module. A boost type DC/DC converter topology is utilized and modeled and simulation models for "P&O" and "IncCond" algorithms are constructed. According to the results, both of the algorithms have shown almost similar performances under identical test conditions. Despite its relatively high complexity, the IncCond algorithm has been slightly more efficient and has reached to the MPP in a shorter time period, while most probably the simple structure of the P&O algorithm has caused it to be the most preferred MPPT algorithm. The paper provides reliable information on the performance and characteristics of the mentioned two MPPT techniques which can be used by system designers to improve the overall efficiency and reduce the cost of PV system applications.
基于MATLAB/Simulink的光伏系统最大功率点跟踪技术评估
作为光伏系统中最常用的两种最大功率点跟踪技术,本文主要对“摄动&观察”和“增量电导”算法的性能进行了评价。利用Matlab/SIMULINK平台对整个系统进行建模和仿真。以太阳能电池的单二极管数学模型为基础,建立了光伏组件的仿真模型,并利用商用光伏组件的厂商数据表参数对模型进行了验证。采用升压型DC/DC变换器拓扑,构建了“P&O”和“IncCond”算法的建模和仿真模型。结果表明,在相同的测试条件下,两种算法表现出几乎相似的性能。尽管IncCond算法的复杂度相对较高,但IncCond算法的效率略高,并且在较短的时间内达到了最优解,而P&O算法的简单结构很可能使其成为最受欢迎的最优解算法。本文提供了上述两种MPPT技术的性能和特点的可靠信息,可供系统设计人员使用,以提高光伏系统应用的整体效率和降低成本。
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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