部分遮阳MPPT算法的速度、精度和嵌入成本综述

A. Asnil, R. Nazir, K. Krismadinata, Muhammad Nasir Sonni
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引用次数: 0

摘要

本文描述了几种对光伏系统有不利影响的部分遮阳条件下的最大功率点跟踪算法。所使用的方法是对来自知名出版商的文章进行文献综述。在符合既定的选择标准后,获得了52篇文章。文献综述集中于最大功率点跟踪算法在跟踪速度、跟踪精度、效率和实现复杂性方面克服部分阴影条件的能力。结果表明,最大功率点跟踪可采用单游算法和摄动与观测器算法、增强型自适应步长摄动与观测器算法、新型自适应步长增量电导算法、改进蝙蝠算法和模糊逻辑控制器算法以及单周期控制的粒子群优化算法。从实现复杂度来看,这五种算法属于中等复杂度,其特点是成本低,效率高,甚至100%,使用最少的传感器,跟踪速度和精度都很高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Review of Partial Shading MPPT Algorithm on Speed, Accuracy, and Cost Embedded
This paper describes several Maximum Power Point Tracking algorithms for partial shading conditions that have detrimental effects on photovoltaic systems. The method used is a literature review of articles from reputable publishers. Fifty two articles were obtained after meeting the established criteria for selection. The literature review focused on the ability of the Maximum Power Point Tracking algorithm to overcome partial shading conditions in terms of tracking speed, tracking accuracy, efficiency, and implementation complexity. As the results, some algorithms are recommended to be applied for Maximum Power Point Tracking including the Single Swam Algorithm and the Perturb And Observer algorithm, the Enhanced Adaptive Step Size Perturb and Observe algorithm, the Novel Adaptable Step Incremental Conductance algorithm, the Improved Bat Algorithm and Fuzzy Logic Controller algorithm, and the Particle Swarm Optimization with One Cycle Control algorithm. In terms of implementation complexity, these five algorithms are categorized as medium-complexity, which can be characterized as low cost, high efficiency, and even 100% with high tracking speed and accuracy  with a minimum number of sensors used.
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