Survey and Classification of Hybrid GMPPT Techniques for Photovoltaic System under Partial Shading Conditions

F. Belhachat, C. Larbes
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Abstract

A maximum power point tracking process is a very important task to harvest the maximum power available from a photovoltaic generator. For this reason, resorting to the development of new and more effective methods is an absolute necessity. Numerous advanced methods have been successfully employed to extract the real maximum point, such as neural networks and metaheuristic techniques. These techniques deal effectively in such conditions. However, the use of the algorithm alone has some limitations. In order to solve these drawbacks, the combination of two or more different techniques provides more advantages over single MPPT algorithms and improves the performance of the overall system. This paper mainly focus in reviewing the most important and recent hybrid global MPPT techniques proposed in the literature and proposes a classification of these methods with a comparison of their performances. All surveyed hybrid GMPPT methods are divided into four categories according to algorithms types involved in the MPPT method. This review study intends to make it easier for the user to make the convenient selection of which method to adopt especially in the presence of a variety of methods which are continuously developing in the literature. For this reason, resorting to the development of new and more effective methods is an absolute necessity to avoid the aforementioned problems. In the same context, numerous advanced methods have been successfully employed to extract the real maximum point, such as neural networks and metaheuristic techniques. These techniques deal effectively in such conditions. However, the use of the algorithm alone has some limitations. In order to solve these drawbacks, the combination of two or more different techniques provides more advantages over single MPPT algorithms and improves the performance of the overall system. This paper mainly focus in reviewing the recent hybrid global MPPT techniques proposed in the literature and proposes a classification of these methods with a comparison of their performances. All surveyed hybrid GMPPT methods are divided into four categories according to algorithms types involved in the MPPT method. This review study intends to make it easier for the user to make the convenient selection of which method to adopt especially in the presence of a variety of methods which are continuously developing in the literature.
部分遮阳条件下光伏系统混合GMPPT技术综述与分类
最大功率点跟踪是光伏发电系统获取最大功率的重要环节。因此,采用新的、更有效的方法是绝对必要的。许多先进的方法已经成功地用于提取真实极大点,如神经网络和元启发式技术。这些技术可以有效地处理这种情况。然而,单独使用该算法有一些局限性。为了解决这些缺点,两种或多种不同技术的结合提供了比单一MPPT算法更多的优势,并提高了整个系统的性能。本文主要回顾了文献中提出的最重要和最新的混合全局MPPT技术,并对这些方法进行了分类,并对它们的性能进行了比较。根据所调查的混合GMPPT方法所涉及的算法类型,将混合GMPPT方法分为四类。本综述研究旨在使用户更方便地选择采用哪种方法,特别是在文献中不断发展的各种方法存在的情况下。因此,采用新的更有效的方法来避免上述问题是绝对必要的。在相同的背景下,许多先进的方法已经成功地用于提取真实最大值点,如神经网络和元启发式技术。这些技术可以有效地处理这种情况。然而,单独使用该算法有一些局限性。为了解决这些缺点,两种或多种不同技术的结合提供了比单一MPPT算法更多的优势,并提高了整个系统的性能。本文主要回顾了近年来文献中提出的混合全局MPPT技术,并对这些方法进行了分类,并对它们的性能进行了比较。根据所调查的混合GMPPT方法所涉及的算法类型,将混合GMPPT方法分为四类。本综述研究旨在使用户更方便地选择采用哪种方法,特别是在文献中不断发展的各种方法存在的情况下。
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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